Evidence map›Paper›PMID 28601832›Full record

ArticleBMJ open2017

Global prevalence of diabetes mellitus in patients with tuberculosis: a systematic review and meta-analysis protocol.

Aurel T Tankeu, Jean Joël Bigna, Jobert Richie Nansseu, Francky Teddy A Endomba, Guy Sadeu Wafeu, Arnaud D Kaze, Jean Jacques Noubiap

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Multidrug-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  2. Novel stepwise approach to assess representativeness of a large multicenter observational cohort of tuberculosis patients: The example of RePORT Brazil.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Observational
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 4 countries.

Aurel T TankeuDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, Yaoundé, Cameroon.
Jean Joël BignaDepartment of Epidemiology and Public Health, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Jobert Richie NansseuDepartment of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.
Francky Teddy A EndombaDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, Yaoundé, Cameroon.
Guy Sadeu WafeuDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, Yaoundé, Cameroon.
Arnaud D KazeBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jean Jacques NoubiapDepartment of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Groote Schuur Hospital · ZAHarvard University · USUniversité de Yaoundé I · CMUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes mellitus (DM) is an important risk factor for active tuberculosis (TB), which also adversely affect TB treatment outcomes. The escalating global DM epidemic is fuelling the burden of TB and should therefore be a major target in the strategy for ending TB. This review aims to estimate the global prevalence of DM in patients with TB. METHODS AND ANALYSIS: This systematic review will include cross-sectional, case-control or cohort studies of populations including patients diagnosed with TB that have reported the prevalence of DM using one of the fourth standard recommendations for screening and diagnosis. This protocol is written in accordance with recommendations from the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2015 statement. Relevant abstracts published in English/French from inception to 31 December 2016 will be searched in PubMed, Excerpta Medica Database and online journals. Two investigators will independently screen, select studies, extract data and assess the risk of bias in each study. The study-specific estimates will be pooled through a random-effects meta-analysis model to obtain an overall summary estimate of the prevalence of diabetes across the studies. Heterogeneity will be assessed, and we will pool studies judged to be clinically homogenous. On the other hand, statistical heterogeneity will be evaluated by the χ² test on Cochrane's Q statistic. Funnel-plots analysis and Egger's test will be used to investigate publication bias. Results will be presented by continent or geographic regions. ETHICS AND DISSEMINATION: This study is based on published data. An ethical approval is therefore not required. This systematic review and meta-analysis is expected to inform healthcare providers as well as general population on the co-occurrence of DM and TB. The final report will be published as an original article in a peer-reviewed journal, and will also be presented at conferences and submitted to relevant health authorities. We also plan to update the review every 5 years. PROTOCOLREGISTRATION NUMBER: PROSPERO International Prospective Register of Systematic Reviews (CRD42016049901).

Indexed as

Diabetes MellitusGlobal HealthHumansMeta-Analysis as TopicPrevalenceResearch DesignSystematic Reviews as TopicTuberculosis, Pulmonarygeneral diabetespublic healthtuberculosis

Identifiers

PMID28601832
PMCPMC5734253
OpenAlexW2623336658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.