Evidence map›Paper›PMID 38636953›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

For Tuberculosis, Not "To Screen or Not to Screen?" but "Who?" and "How?"

Maha Reda Farhat, Karen Rita Jacobson

Abstract readEditorialComment
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Maha Reda FarhatDepartment of Biomedical Informatics, Harvard Medical School.
Karen Rita JacobsonSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts.ORCID 0000-0003-4239-3685

Funding

Investigating bacterial contributions to TB treatment response: a focus on in-host pathogen dynamicsR01AI155765 · NIAID · HARVARD MEDICAL SCHOOL · PI FARHAT, MAHA · 2020 to 2024
$3.7M
Transmission Of Tuberculosis Among illicit drug use Linkages (TOTAL)R01AI147316 · NIAID · BOSTON MEDICAL CENTER · PI JACOBSON, KAREN R · 2019 to 2023
$3.5M
Motsepe Presidential Research Accelerator Fund for AfricaNIAID NIH HHS R01 AI147316NIAID NIH HHS R01 AI155765NIH HHS R01 AI147316
6 · The paper itself

Abstract

Active case finding leveraging new molecular diagnostics and chest X-rays with automated interpretation algorithms is increasingly being developed for high-risk populations to drive down tuberculosis incidence. We consider why such an approach did not deliver a decline in tuberculosis prevalence in Brazilian prison populations and what to consider next.

Indexed as

Mass ScreeningTuberculosisBrazilHumansIncidencePrevalencePrisonersPrisonsactive case findingchest x-raytuberculosis

Identifiers

PMID38636953
PMCPMC11175681

What OpenQuestion holds

Textmetadata
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.