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Table 3 Summary of SWIFT performance ranking metrics

From: SWIFT-Review: a text-mining workbench for systematic review

 

Cohen (2006) [6]

Matwin (2010) [28]

Cohen (2008/11) [29, 30]

SWIFT-Review (25 trials)

WSS@95 [proportion of studies screened to achieve 95 % recall]

PFOA/PFOS and immunotoxicity

N/A

N/A

N/A

0.805 [0.145]

Bisphenol A (BPA) and obesity

N/A

N/A

N/A

0.752 [0.198]

Transgenerational inheritance of health effects

N/A

N/A

N/A

0.714 [0.236]

Fluoride and neurotoxicity in animal models

N/A

N/A

N/A

0.870 [0.080]

Neuropathic pain

N/A

N/A

N/A

0.691 [0.259]

SWIFT-Review mean

0.766 [0.184]

Skeletal muscle relaxants

0.000 [0.950]

0.265 [0.685]

0.374 [0.576]

0.556 [0.394]

Opioids

0.133 [0.817]

0.554 [0.396]

0.364 [0.586]

0.826 [0.124]

Antihistamines

0.000 [0.950]

0.149 [0.801]

0.236 [0.714]

0.137 [0.813]

ADHD

0.680 [0.270]

0.622 [0.328]

0.526 [0.424]

0.793 [0.157]

Triptans

0.034 [0.916]

0.274 [0.676]

0.346 [0.604]

0.412 [0.538]

Urinary incontinence

0.261 [0.689]

0.296 [0.654]

0.432 [0.518]

0.530 [0.420]

Ace inhibitors

0.566 [0.384]

0.523 [0.427]

0.733 [0.217]

0.801 [0.149]

Nonsteroidal anti-inflammatory

0.497 [0.453]

0.528 [0.422]

0.672 [0.278]

0.730 [0.220]

Beta blockers

0.284 [0.666]

0.367 [0.583]

0.465 [0.485]

0.428 [0.522]

Proton pump inhibitors

0.277 [0.773]

0.229 [0.721]

0.328 [0.622]

0.378 [0.572]

Estrogens

0.183 [0.767]

0.375 [0.575]

0.414 [0.536]

0.471 [0.479]

Statins

0.247 [0.803]

0.315 [0.635]

0.491 [0.459]

0.436 [0.514]

Calcium-channel blockers

0.122 [0.828]

0.234 [0.716]

0.430 [0.520]

0.448 [0.502]

Oral hypoglycemics

0.090 [0.860]

0.085 [0.865]

0.136 [0.814]

0.117 [0.833]

Atypical antipsychotics

0.141 [0.809]

0.206 [0.744]

0.170 [0.780]

0.251 [0.699]

Mean (Cohen benchmark)

0.234 [0.716]

0.335 [0.615]

0.408 [0.542]

0.488 [0.462]

SWIFT-Review grand mean

0.540 [0.410]

  1. Metrics shown are the WSS@95 and (in brackets) the proportion of studies screened to achieve 95 % recall. When applicable, bold text indicates the method with the highest performance (highest WSS) for each dataset