Skip to content

Advertisement

Systematic Reviews

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

A systematic review of neonatal treatment intensity scores and their potential application in low-resource setting hospitals for predicting mortality, morbidity and estimating resource use

Systematic Reviews20176:248

https://doi.org/10.1186/s13643-017-0649-6

Received: 25 July 2017

Accepted: 28 November 2017

Published: 7 December 2017

Back to article

Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
25 Jul 2017 Submitted Original manuscript
8 Aug 2017 Reviewed Reviewer Report - Anders Granholm
16 Aug 2017 Reviewed Reviewer Report - Johanna Damen
12 Oct 2017 Author responded Author comments - Jalemba Aluvaala
Resubmission - Version 2
12 Oct 2017 Submitted Manuscript version 2
Publishing
28 Nov 2017 Editorially accepted
7 Dec 2017 Article published 10.1186/s13643-017-0649-6

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
(2)
Department of Paediatrics and Child Health, College of Health Sciences, University of Nairobi, Kenyatta National Hospital, Nairobi, Kenya
(3)
Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
(4)
The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
(5)
Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK

Advertisement