Evidence map›Paper›PMID 32444399›Full record

ArticleThe European respiratory journal2020

COVID-19, tuberculosis and poverty: preventing a perfect storm.

Matthew J Saunders, Carlton A Evans

Registry-linked trialAbstract readEditorialComment
In one paragraph

Article in The European respiratory journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05633056 (Adaptive Evaluation of mHealth and Conventional Adherence Support Interventions to Optimize Outcome With New Treatment Regimens for Drug-resistant Tuberculosis and HIV in South Africa), which is not on this map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT05633056 narecruitingnot on this mapstarted 2023, after this paper: background citation

Adaptive Evaluation of mHealth and Conventional Adherence Support Interventions to Optimize Outcome With New Treatment Regimens for Drug-resistant Tuberculosis and HIV in South Africa

TypeinterventionalSponsorColumbia UniversityRan2023 to 2029Enrolled360ConditionsMulti Drug Resistant Tuberculosis, HIV InfectionsArmsAdherence support intevention
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pathology of TB/COVID-19 Co-Infection: The phantom menace.Tuberculosis (Edinburgh, Scotland) · 2021
    Pooled it
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Effects of the COVID-19 Pandemic on Patients with Tuberculosis.Journal of clinical practice and research · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Clinical characteristics of COVID-19 in patients with tuberculosis and factors associated with the disease severity.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  20. Tuberculosis, HIV/AIDS and Malaria Health Services in sub-Saharan Africa - A Situation Analysis of the Disruptions and Impact of the COVID-19 Pandemic.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Matthew J SaundersDept of Infectious Disease, Imperial College London, London, UK matthew.saunders@ifhad.org.
Carlton A EvansDept of Infectious Disease, Imperial College London, London, UK.

Funding

Medical Research Council MR/K007467/1Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralTuberculosisCOVID-19HumansPovertySARS-CoV-2

Identifiers

PMID32444399
PMCPMC7243392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.