Evidence map›Paper›PMID 38965640›Full record

ReviewPneumonia (Nathan Qld.)2024

Early detection of tuberculosis: a systematic review.

Josef Yayan, Karl-Josef Franke, Melanie Berger, Wolfram Windisch, Kurt Rasche

Abstract readReview
In one paragraph

Review in Pneumonia (Nathan Qld.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. The role of medical imaging in translational research into early pulmonary tuberculosis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
    Review
  3. (Cu-S)Mikrochimica acta · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Tuberculosis: An Ongoing Global Threat.Advances in experimental medicine and biology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Josef YayanDepartment of Internal Medicine, Division of Pulmonary, Allergy and Sleep Medicine, Witten/Herdecke University, HELIOS Clinic Wuppertal, Heusnerstr. 40, 42283, Wuppertal, Germany. josef.yayan@hotmail.com.
Karl-Josef FrankeDepartment of Internal Medicine, Pulmonary Division, Internal Intensive Care Medicine, Infectiology, and Sleep Medicine, Märkische Clinics Health Holding Ltd, Clinic Lüdenscheid, Witten/Herdecke University, Lüdenscheid, Germany.
Melanie BergerDepartment of Pneumology, Cologne Merheim Hospital, Witten/Herdecke University, Cologne, Germany.
Wolfram WindischDepartment of Pneumology, Cologne Merheim Hospital, Witten/Herdecke University, Cologne, Germany.
Kurt RascheDepartment of Internal Medicine, Division of Pulmonary, Allergy and Sleep Medicine, Witten/Herdecke University, HELIOS Clinic Wuppertal, Heusnerstr. 40, 42283, Wuppertal, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis remains a significant global health challenge. Tuberculosis affects millions of individuals worldwide. Early detection of tuberculosis plays a relevant role in the management of treatment of tuberculosis. This systematic review will analyze the findings of several published studies on the topic of the early detection of tuberculosis. This systematic review highlights their methodologies and limitations as well as their contributions to our understanding of this pressing issue. Early detection of tuberculosis can be achieved through tuberculosis screening for contacts. Comprehensive health education for household contacts can be used as early detection. The in-house deep learning models can be used in the X-ray used for automatic detection of tuberculosis. Interferon gamma release assay, routine passive and active case detection, portable X-ray and nucleic acid amplification testing, and highly sensitive enzyme-linked immunosorbent assay tests play critical roles in improving tuberculosis detection.

Indexed as

Diagnostic testsEarly diagnosisScreeningTuberculosis

Identifiers

PMID38965640
PMCPMC11225244

What OpenQuestion holds

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LicenceCC BY
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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.