Literature DB >> 27633910

Strengthening the Reporting of Observational Studies in Epidemiology for Newborn Infection (STROBE-NI): an extension of the STROBE statement for neonatal infection research.

Elizabeth J A Fitchett1, Anna C Seale2, Stefania Vergnano3, Michael Sharland3, Paul T Heath3, Samir K Saha4, Ramesh Agarwal5, Adejumoke I Ayede6, Zulfiqar A Bhutta7, Robert Black8, Kalifa Bojang9, Harry Campbell10, Simon Cousens1, Gary L Darmstadt11, Shabir A Madhi12, Ajoke Sobanjo-Ter Meulen13, Neena Modi14, Janna Patterson15, Shamim Qazi16, Stephanie J Schrag17, Barbara J Stoll18, Stephen N Wall19, Robinson D Wammanda20, Joy E Lawn21.   

Abstract

Neonatal infections are estimated to account for a quarter of the 2·8 million annual neonatal deaths, as well as approximately 3% of all disability-adjusted life-years. Despite this burden, few data are available on incidence, aetiology, and outcomes, particularly regarding impairment. We aimed to develop guidelines for improved scientific reporting of observational neonatal infection studies, to increase comparability and to strengthen research in this area. This checklist, Strengthening the Reporting of Observational Studies in Epidemiology for Newborn Infection (STROBE- NI), is an extension of the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) statement. STROBE-NI was developed following systematic reviews of published literature (1996-2015), compilation of more than 130 potential reporting recommendations, and circulation of a survey to relevant professionals worldwide, eliciting responses from 147 professionals from 37 countries. An international consensus meeting of 18 participants (with expertise in infectious diseases, neonatology, microbiology, epidemiology, and statistics) identified priority recommendations for reporting, additional to the STROBE statement. Implementation of these STROBE-NI recommendations, and linked checklist, aims to improve scientific reporting of neonatal infection studies, increasing data utility and allowing meta-analyses and pathogen-specific burden estimates to inform global policy and new interventions, including maternal vaccines.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27633910     DOI: 10.1016/S1473-3099(16)30082-2

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  48 in total

1.  [Value of combined determination of neutrophil CD64 and procalcitonin in early diagnosis of neonatal bacterial infection].

Authors:  Dao-Jian Qin; Zong-Sheng Tang; Shu-Li Chen; Xue-Mei Xu; Shuang-Gen Mao; Shi-Fa Zhang
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2017-08

2.  Gender Differences in Gastric Cancer Survival: 99,922 Cases Based on the SEER Database.

Authors:  Huafu Li; Zhewei Wei; Chunming Wang; Wei Chen; Yulong He; Changhua Zhang
Journal:  J Gastrointest Surg       Date:  2019-07-25       Impact factor: 3.452

Review 3.  Big Data Research in Neuro-Ophthalmology: Promises and Pitfalls.

Authors:  Heather E Moss; Charlotte E Joslin; Daniel S Rubin; Steven Roth
Journal:  J Neuroophthalmol       Date:  2019-12       Impact factor: 3.042

4.  The albumin-to-alkaline phosphatase ratio as an independent predictor of future non-alcoholic fatty liver disease in a 5-year longitudinal cohort study of a non-obese Chinese population.

Authors:  Guotai Sheng; Nan Peng; Chong Hu; Ling Zhong; Mingchun Zhong; Yang Zou
Journal:  Lipids Health Dis       Date:  2021-05-16       Impact factor: 3.876

5.  Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN).

Authors:  Erynne Rowe; Elizabeth Hassan; Lisa Carlesso; Janie Astephen Wilson; Douglas P Gross; Charles Fisher; Hamilton Hall; Neil Manson; Ken Thomas; Greg McIntosh; Brian Drew; Raja Rampersaud; Luciana Macedo
Journal:  Can J Pain       Date:  2020-12-30

Review 6.  Risk of bias and confounding of observational studies of Zika virus infection: A scoping review of research protocols.

Authors:  Ludovic Reveiz; Michelle M Haby; Ruth Martínez-Vega; Carlos E Pinzón-Flores; Vanessa Elias; Emma Smith; Mariona Pinart; Nathalie Broutet; Francisco Becerra-Posada; Sylvain Aldighieri; Maria D Van Kerkhove
Journal:  PLoS One       Date:  2017-07-07       Impact factor: 3.240

7.  Reporting guidelines in global health research.

Authors:  Ana Marušić; Harry Campbell
Journal:  J Glob Health       Date:  2016-12       Impact factor: 4.413

Review 8.  Neonatal healthcare-associated infections in Brazil: systematic review and meta-analysis.

Authors:  Felipe Teixeira de Mello Freitas; Anna Paula Bise Viegas; Gustavo Adolfo Sierra Romero
Journal:  Arch Public Health       Date:  2021-06-01

9.  Influenza epidemiology and immunization during pregnancy: Final report of a World Health Organization working group.

Authors:  Deshayne B Fell; Eduardo Azziz-Baumgartner; Michael G Baker; Maneesh Batra; Julien Beauté; Philippe Beutels; Niranjan Bhat; Zulfiqar A Bhutta; Cheryl Cohen; Bremen De Mucio; Bradford D Gessner; Michael G Gravett; Mark A Katz; Marian Knight; Vernon J Lee; Mark Loeb; Johannes M Luteijn; Helen Marshall; Harish Nair; Kevin Pottie; Rehana A Salam; David A Savitz; Suzanne J Serruya; Becky Skidmore; Justin R Ortiz
Journal:  Vaccine       Date:  2017-09-01       Impact factor: 3.641

10.  Group B Streptococcal Disease Worldwide for Pregnant Women, Stillbirths, and Children: Why, What, and How to Undertake Estimates?

Authors:  Joy E Lawn; Fiorella Bianchi-Jassir; Neal J Russell; Maya Kohli-Lynch; Cally J Tann; Jennifer Hall; Lola Madrid; Carol J Baker; Linda Bartlett; Clare Cutland; Michael G Gravett; Paul T Heath; Margaret Ip; Kirsty Le Doare; Shabir A Madhi; Craig E Rubens; Samir K Saha; Stephanie Schrag; Ajoke Sobanjo-Ter Meulen; Johan Vekemans; Anna C Seale
Journal:  Clin Infect Dis       Date:  2017-11-06       Impact factor: 9.079

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