Evidence map›Paper›PMID 22363214›Full record

ReviewPLoS pathogens2012

Tuberculosis and HIV co-infection.

Andrzej Pawlowski, Marianne Jansson, Markus Sköld, Martin E Rottenberg, Gunilla Källenius

Open access · goldAbstract readReview
In one paragraph

Review in PLoS pathogens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 356 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
356citing papers in PubMed, 6 pooled it
23.7field-weighted citation impact, top 1% 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

356 citing papers in PubMed, 6 syntheses or guidelines pooled it, 752 citations in OpenAlex.

  1. Pooled it
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  12. Article
  13. Article
  14. Cost-effectiveness of community tuberculosis screening in South Africa.American journal of respiratory and critical care medicine · 2026
    Article
  15. Key risk factors for pulmonary vs. extrapulmonary tuberculosis: a comparative study in Southwest Ethiopia.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  16. Review
  17. Applications of humanized mice inMolecular medicine reports · 2026
    Review
  18. Review
  19. Article
  20. Article

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

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 at 2 institutions in 1 country.

Andrzej PawlowskiDepartment of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden.
Marianne Jansson
Markus Sköld
Martin E Rottenberg
Gunilla Källenius
Karolinska Institutet · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) and HIV co-infections place an immense burden on health care systems and pose particular diagnostic and therapeutic challenges. Infection with HIV is the most powerful known risk factor predisposing for Mycobacterium tuberculosis infection and progression to active disease, which increases the risk of latent TB reactivation 20-fold. TB is also the most common cause of AIDS-related death. Thus, M. tuberculosis and HIV act in synergy, accelerating the decline of immunological functions and leading to subsequent death if untreated. The mechanisms behind the breakdown of the immune defense of the co-infected individual are not well known. The aim of this review is to highlight immunological events that may accelerate the development of one of the two diseases in the presence of the co-infecting organism. We also review possible animal models for studies of the interaction of the two pathogens, and describe gaps in knowledge and needs for future studies to develop preventive measures against the two diseases.

Indexed as

CoinfectionAnimalsHIV InfectionsHumansTuberculosis

Identifiers

PMID22363214
PMCPMC3280977
OpenAlexW2164423040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.