Evidence map›Paper›PMID 31926354›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh.

Kishor Kumar Paul, Yosra M A Alkabab, Md Mahfuzur Rahman, Shahriar Ahmed, Md Jobaer Amin, Md Delwar Hossain, Scott K Heysell, Sayera Banu

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

8 authors at 4 institutions in 3 countries.

Kishor Kumar PaulProgramme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh; The Kirby Institute, University of New South Wales, Kensington, New South Wales, Australia.
Yosra M A AlkababDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.
Md Mahfuzur RahmanProgramme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Shahriar AhmedProgramme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Md Jobaer AminProgramme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Md Delwar HossainDepartment of Respiratory Medicine, BIRDEM General Hospital and Ibrahim Medical College, Dhaka, Bangladesh.
Scott K HeysellDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.
Sayera BanuProgramme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh. Electronic address: sbanu@icddrb.org.
International Centre for Diarrhoeal Disease Research · BDUniversity of Virginia · USBangladesh Institute of Research and Rehabilitation for Diabetes Endocrine and Metabolic Disorders · BDUNSW Sydney · AU

Funding

INFECTIOUS DISEASES TRAINING PROGRAMT32AI007046 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Alison K Criss, William A Petri · 1985 to 2026
$15.3M
Diagnostics and Pharmacotherapy for Severe Forms of TBU01AI115594 · NIAID · UNIVERSITY OF VIRGINIA · PI HEYSELL, SCOTT K, HOUPT, ERIC R · 2015 to 2019
$3.0M
NIAID NIH HHS T32 AI007046
6 · The paper itself

Abstract

backgroundData are scarce regarding the prevalence of diabetes mellitus (DM) among tuberculosis (TB) patients in Bangladesh. This study was undertaken to estimate the number needed to screen (NNS) to identify a case of DM among those with TB symptoms and those with confirmed TB disease, and to identify factors predicting treatment outcomes of TB patients with and without DM.

methodsPersons attending public-private model screening centres in urban Dhaka for the evaluation of TB were offered free blood glucose testing in addition to computer-aided chest X-ray and sputum Xpert MTB/RIF.

resultsAmong 7647 people evaluated for both TB and DM, the NNS was 35 (95% confidence interval (CI) 31-40) to diagnose one new case of DM; among those diagnosed with TB, the NNS was 21 (95% CI 17-29). Among those with diagnosed TB, patients with DM were more likely to have cavitation on chest X-ray compared to those without DM (31% vs 22%). Treatment failure (odds ratio (OR) 18.9, 95% CI 5.43-65.9) and death (OR 2.08, 95% CI 1.11-3.90) were more common among TB patients with DM than among TB patients without DM. DM was the most important predictor of a poor treatment outcome in the classification analysis for TB patients aged 39 years and above.

conclusionsA considerable burden of DM was found among patients accessing TB diagnostics through a public-private model in urban Bangladesh, and DM was associated with advanced TB disease and a high rate of poor treatment outcome.

Indexed as

Mass ScreeningAdultAgedBangladeshDiabetes ComplicationsDiabetes MellitusFemaleHumansMaleMiddle AgedPrevalenceTreatment OutcomeTuberculosisYoung AdultCAD4TBPulmonary TB with diabetesScreening for diabetesTB treatment outcome

Identifiers

PMID31926354
PMCPMC9006482
OpenAlexW3000713640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.