Evidence map›Paper›PMID 33355269›Full record

ArticleBMJ global health2020

Finding the missing millions: lessons from 10 active case finding interventions in high tuberculosis burden countries.

Tripti Pande, Nathaly Aguilera Vasquez, Danielle Cazabon, Jacob Creswell, Miranda Brouwer, Oriol Ramis, Robert Hartley Stevens, Ramya Ananthakrishnan, Shahina Qayyum, Chukwuka Alphonsus and 4 more

Abstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

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

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

  1. Pooled it
  2. Pooled it
  3. Closing gaps through innovation in the tuberculosis pathology value chain.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
  4. Article
  5. Article
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  7. Article
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  9. COVID-19 policies and tuberculosis services in private health sectors of India, Indonesia, and Nigeria.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
    Article
  10. Review
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  12. Article
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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

14 authors.

Tripti Pande *McGill University Health Centre, Montreal, Québec, Canada tripti.pande@mail.mcgill.ca.ORCID 0000-0002-3552-9604
Nathaly Aguilera Vasquez *McGill University Health Centre, Montreal, Québec, Canada.
Danielle CazabonEpidemiology and Biostatistics, McGill University, Montreal, Québec, Canada.
Jacob CreswellStop TB Partnership, Geneva, Switzerland.
Miranda BrouwerPHTB Consultant, Tilburg, The Netherlands.
Oriol RamisIndependent Consultant, Barcelona, Spain.
Robert Hartley StevensIndependent Consultant, Manchester, UK.
Ramya AnanthakrishnanResource group for Education and Advocacy for Community Health (REACH), Chennai, India.
Shahina QayyumBridge Consultants Foundation, Karachi, Pakistan.
Chukwuka AlphonsusGerman Leprosy & Tuberculosis Relief Association, Enugu, Nigeria.
Charity Oga-OmenkaMcGill University Health Centre, Montreal, Québec, Canada.
Vaidehi NafadeEpidemiology and Biostatistics, McGill University, Montreal, Québec, Canada.
Paulami SenEpidemiology and Biostatistics, McGill University, Montreal, Québec, Canada.
Madhukar PaiEpidemiology and Biostatistics, McGill University, Montreal, Québec, Canada.ORCID 0000-0003-3667-4536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

TuberculosisHumansMass Screeningpublic healthqualitative studyscreeningtuberculosis

Identifiers

PMID33355269
PMCPMC7757499

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.