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Clinical, behavioural and pharmacogenomic factors influencing the response to levothyroxine therapy in patients with primary hypothyroidism—protocol for a systematic review

Abstract

Background

Suboptimal thyroid hormone therapy including under-replacement and over-replacement is common amongst patients with hypothyroidism. This is a significant health concern as affected patients are at risk of adverse cardiovascular or metabolic consequences. Despite a growing body of evidence on the effects of various factors on thyroid hormone replacement, a systematic appraisal of the evidence is lacking. This review aims to appraise and quantify the extent to which clinical, behavioural and pharmacogenomic factors affect levothyroxine therapy in patients with primary hypothyroidism.

Methods/design

The databases Web of Science, Cochrane Library, EMBASE and PubMed will be searched. Patients must be adults over the age of 18 years, suffering from primary hypothyroidism including overt and subclinical hypothyroidism and receiving levothyroxine treatment. Studies in children, pregnant women and patients with secondary or tertiary hypothyroidism will not be included. We will also exclude studies focused on forms of thyroid hormone replacement therapy other than levothyroxine.

The primary outcome is to quantify the effect of clinical, behavioural and pharmacogenomic factors on thyroid stimulating hormone (TSH) levels. Secondary outcomes are the effect these factors have on thyroxine (T4) and triiodothyronine (T3) levels, mortality, morbidity, quality of life, treatment complications, adverse effects, physical and social functioning. Studies will be screened through reading the title, abstract and then full text. Two reviewers will independently extract the data and select articles, and a third reviewer will be consulted if there is any disagreement. We will undertake a meta-analysis of studies in which there is a defined intervention or exposure, patients are receiving levothyroxine for hypothyroidism, there is an appropriate control group of levothyroxine treated patients that are not exposed to the intervention, and the primary outcome is determined by serum TSH levels. Studies will comprise of randomised controlled trials as well as observational data.

Eligible studies will be assessed for bias using the risk of bias tool available in the Cochrane handbook 2011, and the quality of evidence will be judged according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. A flow diagram describing the data search will be created according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: The PRISMA statement. A narrative synthesis will be undertaken in the description of the data, and summary tables will be created of the results.

Discussion

This review will be the first systematic review of this nature. The evidence synthesised will be useful to general practitioners in their management of hypothyroidism. Findings will be disseminated at conferences and in professional and peer-reviewed journals.

Systematic review registration

PROSPERO CRD42015027211

Peer Review reports

Background

Hypothyroidism is a common disease affecting 3–5% of the population and is the result of insufficient production of thyroid hormones. Over 99% of hypothyroid cases are caused by primary hypothyroidism or inadequate function of the thyroid gland [1, 2]. Within the thyroid disease free population, the reference range for thyroid stimulating hormone, thyrotropin (TSH), is commonly between 0.4 and 4.0 mU/L, and levels above this are indicative of hypothyroidism. Overt hypothyroidism is a clinical condition in which TSH is increased above the reference range, and free thyroid hormones, most significantly thyroxine (T4), are low, while subclinical hypothyroidism (SCH) refers to TSH levels above the normal reference range, but free thyroid hormones are within their reference range [3].

Three percent of the UK population receive thyroid hormone replacement therapy [4]. Synthetic levothyroxine is commonly used, and the goal of therapy is to achieve clinical wellbeing and restore serum TSH levels to within the reference range. Levothyroxine has a long half-life of about 7 days, and so, a once daily dose provides stable and relatively constant serum hormone levels. With individual dosage adjustment, levothyroxine replacement therapy is safe and well tolerated [5]. However, over a third of patients with hypothyroidism are inadequately treated i.e. under-treated or over-treated, as shown by abnormal serum TSH levels in community-based cohorts of levothyroxine treated patients [6, 7]. This problem has persisted for decades and remains an issue even with frequent biochemical monitoring of patients [810]

Patients with inadequate replacement have an increased risk of cardiovascular events, fractures [1113], dyslipidaemia [14], neurocognitive dysfunction [15] and in extreme cases, may develop the life threatening state of myxoedema coma [16]. In addition, there are healthcare resource implications of having abnormal thyroid biochemistry as these patients are more likely to need their blood tests repeated, have frequent adjustments to their levothyroxine dose, experience recurrent symptoms affecting well-being and quality of life, and contribute to prescription wastage from poor adherence to treatment. Reduced quality of life is very common amongst hypothyroid patients, particularly relating to energy, motivation, physical capabilities, physical appearance and weight [17]. Furthermore, hypothyroid patients even with apparently normal TSH levels report having reduced psychological well-being [18] and poor quality of life [19]. To what extent thyroid hormone levels have a causative role in the symptoms in these cases remains to be determined.

There is now a growing body of evidence describing the effects of a variety of factors on thyroid hormone therapy. Some of these factors include body weight, pregnancy, co-morbid conditions, consistency and quality of levothyroxine, drug interactions and dose timings, and behavioural factors such as adherence rates. Pharmacokinetic factors also play a role since levothyroxine is absorbed from the stomach, and small bowel and its optimal absorption is dependent on the acidic environment of the stomach. Several factors are known to perturb absorption through this mechanism, including the use of calcium or iron salts, proton pump inhibitors, atrophic gastritis (pernicious anaemia) and coeliac disease [20, 21]. Pharmacogenomic associations may also be relevant to the adequacy of thyroxine therapy, and the evidence in this area is increasing. For example, within the metabolic pathway of thyroxine, polymorphisms in the type 2 deiodinase, DIO2, (Thr92Ala) has been shown to influence the levothyroxine dose required to achieve target TSH levels [22].

Thus, there will undoubtedly be multifactorial reasons for poor response to therapy in patients with hypothyroidism. This review aims to summarise the contemporary literature and quantify the extent that clinical, behavioural and pharmacogenomic factors affect the response to levothyroxine and contribute to abnormal TSH levels in patients with primary hypothyroidism.

Methods/design

The systematic review including its methodology will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: The PRISMA statement [23]. The PRISMA statement refers to a checklist, which includes items deemed essential for precise reporting of a systematic review. The additional file shows this in more detail (Additional file 1).

Since there are a variety of factors associated with the response to levothyroxine therapy, this review will adopt a broad approach to answering the review question. Eligibility criteria will ensure hypothyroid patients as the population of interest and the effect on TSH as the primary outcome focus. A summary of participants, interventions, comparators, outcomes and study design (PICOS) details are outlined in Table 1.

Table 1 Summary of the PICOS elements included in the systematic review

Types of studies

Findings from preliminary searches using the keywords hypothyroidism, TSH, food, comorbid, concomitant, compliance, levothyroxine, drugs and OATP1, MCT, UGT, FOXE and deiodinase genes in Web of Science database showed a large variation in the study design used in articles, and the articles consist mainly of non-randomised studies (NRT). Following Cochrane handbook guidance, risk of bias, confounding and heterogeneity will be considered for the type of studies to be used in our review [24]. Since our systematic review needs to have a broad approach to cover a wide range of factors, all studies will be included within our search; RCTs, case-control, cohort, cross sectional, longitudinal, observational and case studies. This will enable evaluation of interventions that were not studied using a RCT design and therefore allows a wide spread of data to be analysed. However, we will take into account design weaknesses as well as the potential for selection bias, outcome reporting bias and confounding of which all NRS are at risk. We will include full journal articles published in English with sufficient data presented in abstracts. Studies will be required to compare TSH levels of hypothyroid patients with or without the interventions defined below.

Participants

Human participants aged 18 years or older diagnosed with primary hypothyroidism, whether overt or subclinical, and receiving levothyroxine therapy. Exclusion criteria are cited in Table 1.

Interventions

Interventions addressing factors that may affect the adequacy of levothyroxine therapy in the hypothyroid population will be included. Selected studies will involve interventions of any type, frequency and intensity that modify clinical, pharmacological or behavioural factors, including studies based on pharmacogenomic characteristics that may affect levothyroxine availability. Such interventions will include measures that influence thyroxine pharmacokinetics, such as drug administration dosage and scheduling, drug interactions, management of co-morbid conditions, and measures designed at improving medication adherence. Interventions will be required to have duration of greater than 6 weeks, and the effectiveness of the intervention on levothyroxine therapy will be measured by TSH levels. Interventions are grouped as:

  • Concomitant medications taken with levothyroxine: proton pump inhibitors, omeprazole, lansoprazole, lanthanum carbonate, calcium, antacids, sevelamer hydrochloride, cholestyramine, colsevelam, ferrous sulphate and aluminium hydroxide.

  • Behavioural factors that could affect levothyroxine: dose timing, compliance, adherence, attitudes and perceptions.

  • Co-morbidities present in hypothyroid patient: lactose intolerance, coeliac disease, gastritis, type 2 diabetes, pancreatic disease, liver disease and pernicious anaemia

  • Pharmacogenomic factors that may impact on levothyroxine bioavailability: OATP1, MCT, UGT, FOXE and deiodinase genes

Studies must report results of the effects of interventions on TSH levels, and if also provided T4 and Triiodothyronine (T3) levels, as well as the effects of interventions on other secondary outcomes described in Table 1. Reports of thyroid hormone concentrations will be based on biochemical analysis of participant blood samples using standardised assay methods. PCR will be used for detection of single nucleotide polymorphisms in thyroid genes. Interventions reporting quality of life will be based on standardised questionnaires, including generic (e.g. SF-36) or disease specific questionnaires (e.g. ThySRQ and ThyTSQ).

A p value of less than 0.05 will be used to assess whether an intervention has had a significant effect on levothyroxine therapy. This will apply for TSH, T4 and T3 levels as well as quality of life and other secondary outcomes as described in Table 1, if provided in an eligible article. Summary values of outcomes will be reported in our systematic review and include means plus standard deviation and medians plus ranges where provided. Differences in summary values will be discussed in the systematic review to assess the effect of factors on levothyroxine therapy. Comparisons will report factors that have an effect on levothyroxine therapy compared to others.

Comparator/control

A control or comparator group is required for studies to be included in this review, to ensure no potential bias, experimental errors and to give a baseline or final comparison.

Search strategy and subject index terms

The keywords hypothyroidism, TSH, food, comorbid, concomitant, compliance, levothyroxine, drugs and OATP1, MCT, UGT, FOXE and deiodinase genes were used in a preliminary search of Web of Science and obtained a total of 41,242 articles. The results of this search were evaluated for relevance, and the search terms were refined accordingly and will be adapted to the respective database. Due to the broad nature of this systematic review, six search strategies have been developed and are displayed in Table 2 using PubMed as an example. Following this, a more in-depth search of databases EMBASE, Web of Science, Cochrane Library and PubMed will be undertaken. In addition to articles found from database searches, relevant articles will also be identified from reference lists of publications.

Table 2 Search strategy example used in PubMed database

Outcome measures

Primary outcome

The primary outcome of this review is to identify and quantify the effect of the listed interventions (clinical, behavioural and pharmacogenomic) on TSH levels.

Secondary outcomes

The secondary outcomes (if documented) will be to quantify the effect of the listed interventions on T4 and T3 levels. Additional secondary outcome measures will include any effects upon mortality, morbidity, quality of life, treatment complications, adverse effects, physical functioning and social functioning.

Data extraction and synthesis

One review author (RD) will screen titles and abstracts and remove duplicates. Two reviewers (RD and OO) will then screen titles and abstracts against inclusion/exclusion criteria. Studies to be included in the review will be agreed between the two screening reviewers. If there is disagreement between the reviewers, a third reviewer (SW) will be consulted. A Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) [23] flow chart will be constructed. We will construct a data extraction form and two reviewers (RD and OO) will extract the data independently and populate the database. A third reviewer (CMD) may be required for consensus.

The following data will be extracted from articles that meet the inclusion criteria:

  1. 1

    Authors, year of publication, country, study design and number of patients

  2. 2

    Population demographics

  3. 3

    Aetiology of hypothyroidism in patient population

  4. 4

    Co-morbidities in patient population

  5. 5

    Levothyroxine dose—range/average for each patient group

  6. 6

    TSH levels—range/average for each patient group

  7. 7

    Intervention, type, frequency and duration

Risk of bias (quality) assessment

Two reviewers (RD and OO) will independently assess each eligible study for risk of bias using the risk of bias tool in the Cochrane handbook 2011 [24]. This covers random sequence generation (selection bias), allocation concealment (selection bias), blinding of participants and personnel (performance bias), blinding of outcome assessment (detection bias, patient-reported outcomes bias and mortality bias), incomplete outcome data addressed (attrition bias) and selective reporting (reporting bias). Other forms of bias such as study design bias and response bias will also be assessed by the reviewers. For missing data, authors of the eligible studies will be contacted to see if relevant data can be obtained and used in this systematic review.

Quality of evidence assessment

Eligible articles will be assessed for quality of evidence referring to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) guidelines [25]. Initial ranking of the quality of a study based on study design, data collection and data analysis will precede downgrading or upgrading of study quality taking into account limitations and effect sizes according to the Cochrane handbook 2011 [24]. A final grade will then be applied and a score of ‘high’, ‘moderate’, ‘low’ or ‘very low’ will be given to studies as a measure of the quality of evidence. Any disagreement between reviewers will be resolved by consulting with a third reviewer (SW).

Strategy for data synthesis

The four-phase flow diagram created will depict the search strategy used during the review, and the numbers of articles excluded and included, and on what basis (PRISMA) [23]. A narrative synthesis of the findings from the included studies will be provided during this review. Descriptive summary tables will also be created, including a summary of all the studies included in the review and the design and quality assessments of these studies. The effect measures for the primary and secondary outcomes will be summarised. For the main outcome, effect measures will be the difference in mean or median TSH and also T3 and T4 where provided. Effect measures for quality of life (QoL) outcomes will be the summary difference in QoL questionnaire scores in the intervention and control arms. For other outcomes such as morbidity and mortality rates, effect measures will be the odds ratios (OR) or relative risks (RR) provided.

Meta-analysis plan

We will undertake a meta-analysis of studies in which (i) there is a defined intervention or exposure, (ii) patients are receiving levothyroxine for hypothyroidism, (iii) there is an appropriate control group of levothyroxine treated patients that are not exposed to the intervention, and (iv) the primary outcome is determined by serum TSH. Studies will be included for meta-analysis if adequate information is provided, and meta-analysis of a topic will only proceed if there are sufficient numbers of relevant publications for the analysis to be meaningful. Studies will comprise randomised controlled trials as well as observational data with well-characterised control groups, but controlled trials and observational data will be pooled separately. Potential categories of interventions that will be assessed for meta-analysis include the optimal timing of levothyroxine administration (e.g. fasting vs non-fasted or morning vs bed time administration), the effect of concomitant drugs such as metformin and anti-epileptic medications on TSH levels, and the impact of co-morbidities and their treatment on the adequacy of levothyroxine therapy as determined by TSH levels.

We will determine the pooled difference in TSH expressed in mU/L (standardised mean difference with 95% confidence intervals) before and after the intervention. Unadjusted and adjusted effect sizes will be derived using a random effects model and inverse variance method. Heterogeneity across study results within each category will be assessed with the I 2 test for heterogeneity which will be graded as follows: I 2 values of 0%, no heterogeneity, 25–50% moderate heterogeneity and 50% high heterogeneity [26]. We will also assess publication bias with the Egger test which will be represented graphically using funnel plots of the standardised mean difference vs the standard error [27]. However, tests for bias will only be used if there are at least 10 studies in the meta-analysis, according to the Cochrane handbook for systematic reviews of interventions [28]. Statistical analysis will be undertaken with the Review Manager Software, version 5.2, The Nordic Cochrane Centre, The Cochrane Collaboration, 2012 [29].

Discussion

This review seeks to further the understanding of the variety of factors that affect the adequacy of thyroid hormone replacement in patients diagnosed with hypothyroidism. The aim is to provide evidence to explain why patients experience TSH levels that are outside the normal reference range and to help healthcare professionals to better target areas to improve TSH control. Understanding the effects of various factors on TSH levels may help to comprehend why certain individuals are unhappy with their levothyroxine treatment.

This protocol has defined the search strategy to achieve the aims of the systematic review, how results will be evaluated, and how bias (Cochrane handbook [24]) and quality of evidence (GRADE) will be assessed. We have described patients, interventions, comparisons, outcomes, and study design (PICOS). We chose TSH levels as our primary outcome, and we acknowledge and will assess the effects upon T4 and T3 levels. Other significant secondary outcomes to be addressed include mortality, morbidity, quality of life, treatment complications, adverse effects, physical functioning and social functioning. Evidence from all potential studies will be initially accepted to give a broad approach that is necessary for our review.

The systematic review will be reported according to the PRISMA guidelines. This will be the first systematic review to focus on quantifying the effects of clinical, behavioural and pharmacogenomic factors on TSH levels in patients with primary hypothyroidism or subclinical hypothyroidism. Findings will be disseminated at conferences and in professional and peer-reviewed journals.

Abbreviations

DIO2:

Type 2 deiodinase

GRADE:

Grading of Recommendations Assessment, Development, and Evaluation

NRS:

Non-randomised studies

OR:

Odds ratios

PICOS:

Participants, interventions, comparators, outcomes, and study design

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

QoL:

Quality of life

RCTs:

Randomised controlled trials

RR:

Relative risks

SCH:

Subclinical hypothyroidism

T3:

Triiodothyronine

T4:

Thyroxine

TSH:

Thyroid stimulating hormone

References

  1. Price A, Weetman AP. Screening for central hypothyroidism is unjustified. BMJ. 2001;322:798.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Roberts CG, Ladenson PW. Hypothyroidism. Lancet. 2004;363:793–803.

    Article  CAS  PubMed  Google Scholar 

  3. BTA. UK guidelines for the use of thyroid function tests. 2006. Available from: http://www.british-thyroid-association.org/sandbox/bta2016/uk_guidelines_for_the_use_of_thyroid_function_tests.pdf. [cited 19th Nov 2015].

  4. Mitchell AL, Hickey B, Hickey JL, et al. Trends in thyroid hormone prescribing and consumption in the UK. BMC Public Health 1994. 2009;9:132.

    Article  Google Scholar 

  5. Biondi B, Wartofsky L. Combination treatment with T4 and T3: toward personalized replacement therapy in hypothyroidism? J Clin Endocrinol Metab. 2012;97:2256–71.

    Article  CAS  PubMed  Google Scholar 

  6. Canaris GJ, Manowitz NR, Mayor G, et al. The Colorado thyroid disease prevalence study. Arch Intern Med. 2000;160(4):526–34.

    Article  CAS  PubMed  Google Scholar 

  7. Parle JV, Franklyn JA, Cross KW, et al. Thyroxine prescription in the community: serum thyroid stimulating hormone level assays as an indicator of undertreatment or overtreatment. Br J Gen Pract. 1993;43:107–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Okosieme OE, Belludi G, Spittle K, et al. Adequacy of thyroid hormone replacement in a general population. QJM. 2011;401(5):395–401.

    Article  Google Scholar 

  9. Somwaru LL, Arnold AM, Joshi N, et al. High frequency of and factors associated with thyroid hormone over-replacement and under-replacement in men and women aged 65 and over. J Clin Endocrinol Metab. 2009;94(4):1342–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Taylor PN, Iqbal A, Minassian C, et al. Falling threshold for treatment of borderline elevated thyrotropin levels-balancing benefits and risks: evidence from a large community-based study. JAMA Intern Med. 2014;174:32–9.

    Article  CAS  PubMed  Google Scholar 

  11. Flynn RW, Bonellie SR, Jung RT, et al. Serum thyroid-stimulating hormone concentration and morbidity from cardiovascular disease and fractures in patients on long-term thyroxine therapy. J Clin Endocrinol Metab. 2010;95(1):186–93.

    Article  CAS  PubMed  Google Scholar 

  12. Uzzan B, Campos J, Cucherat M, et al. Effects on bone mass of long term treatment with thyroid hormones: a meta-analysis. J Clin Endocrinol Metab. 2011;81(12):4278–89.

    Google Scholar 

  13. Bauer DC, Rodondi N, Stone KL, et al. Thyroid hormone use, hyperthyroidism and mortality in older women. Am J Med. 2007;120(4):343–9.

    Article  CAS  PubMed  Google Scholar 

  14. Duntas LH. Thyroid disease and lipids. Thyroid. 2002;12:287–93.

    Article  CAS  PubMed  Google Scholar 

  15. Dugbartey AT. Neurocognitive aspects of hypothyroidism. Arch Intern Med. 1998;158:1413–8.

    Article  CAS  PubMed  Google Scholar 

  16. Fliers E, Wiersinga WM. Myxedema coma. Rev Endocr Metab Disord. 2003;4:137–41.

    Article  PubMed  Google Scholar 

  17. McMillan C, Bradley C, Razvi S, et al. Evaluation of new measures of the impact of hypothyroidism on quality of life and symptoms: the ThyDQoL and ThySRQ. Value Health. 2008;11(2):285–94.

    Article  PubMed  Google Scholar 

  18. Saravanan P, Chau WF, Roberts N, et al. Psychological well-being in patients on ‘adequate’ doses of l-thyroxine: results of a large, controlled community-based questionnaire study. Clin Endocrinol (Oxf). 2002;57(5):577–85.

    Article  CAS  Google Scholar 

  19. Vigario Pdos S, Vaisman F, Coeli CM, et al. Inadequate levothyroxine replacement for primary hypothyroidism is associated with poor health-related quality of life-a Brazilian multicentre study. Endocrine. 2013;44(2):434–40. Epub 2013/02/02.

    Article  PubMed  Google Scholar 

  20. Okosieme OE. Thyroid hormone replacement: current status and challenges. Expert Opin Pharmacother. 2011;12:2315–28.

    Article  CAS  PubMed  Google Scholar 

  21. Biondi B, Wartofsky L. Treatment with thyroid hormone. Endocr Rev. 2014;35(3):433–512.

    Article  CAS  PubMed  Google Scholar 

  22. Torlontano M, Durante C, Torrente I, et al. Type 2 deiodinase polymorphism (threonine 92 alanine) predicts l-thyroxine dose to achieve target thyrotropin levels in thyroidectomized patients. J Clin Endocrinol Metab. 2008;93(3):910–3.

    Article  CAS  PubMed  Google Scholar 

  23. Moher D, Liberati A, Tetzlaff J, et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.

    Article  PubMed  Google Scholar 

  24. Schünemann HJ, Oxman AD, Vist GE, Higgins JPT, Deeks JJ, Glasziou P, Guyatt GH. Chapter 12: Interpreting results and drawing conclusions. In: Higgins JPT, Green S (editors), Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from: www.handbook.cochrane.org.

  25. Guyatt GH, Oxman AD, Vist G, et al. GRADE guidelines: 4. Rating the quality of evidence—study limitations (risk of bias). J Clin Epidemiol. 2011;64:407–15.

    Article  PubMed  Google Scholar 

  26. Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60. Epub 2003/09/06.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Sterne JA, Egger M, Smith GD. Systematic reviews in health care: investigating and dealing with publication and other biases in meta-analysis. BMJ. 2001;14(323):101–5.

    Article  Google Scholar 

  28. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011]. The Cochrane Collaboration; 2011. Available from: http://handbook.cochrane.org. Accessed 5 Sept 2016.

  29. Review Manager (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre TCC; 2014. Available from: http://tech.cochrane.org/revman/about-revman-5. Accessed 5 Sept 2016.

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Acknowledgements

The authors would like to acknowledge AMCo Ltd. for providing financial support.

Funding

This work was supported by AMCo Ltd. (RT/6702).

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Authors’ contributions

RD performed preliminary searches for the systematic review protocol, and RD and SW developed and wrote the first draft of the protocol. OO wrote the meta-analysis section. RD, SW, OO, SR, IK, VE, CMD and SP revised the protocol specification. RD published an outline version of the protocol on the PROSPERO database. All authors read and approved the final manuscript.

Competing interests

Amdipharm Mercury Company Limited (AMCo Ltd), manufacturers of levothyroxine (T4) and liothyronine (T3) provided funded time for RD during which the protocol was developed. However, the study was academically conceived and independent of industry influence.

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Correspondence to Rosie Dew.

Additional file

Additional file 1:

Word document (62 KB). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA statement. This file contains a 27-item checklist of recommended items to include in a systematic review and meta-analysis. (DOC 62 kb)

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Dew, R., Okosieme, O., Dayan, C. et al. Clinical, behavioural and pharmacogenomic factors influencing the response to levothyroxine therapy in patients with primary hypothyroidism—protocol for a systematic review. Syst Rev 6, 60 (2017). https://doi.org/10.1186/s13643-017-0457-z

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