Evidence map›Paper›PMID 9673283›Full record

ArticleInfection and immunity1998

Heterogeneous antibody responses in tuberculosis.

K Lyashchenko, R Colangeli, M Houde, H Al Jahdali, D Menzies, M L Gennaro

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

105 citing papers in PubMed, 1 synthesis or guideline pooled it, 233 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Antibodies as clinical tools for tuberculosis.Frontiers in immunology · 2023
    Review
  11. Differential levels of anti-Frontiers in medicine · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Serum proteomic analysis ofThe Journal of international medical research · 2020
    Article
  16. Article
  17. Immunology ofMicrobiology spectrum · 2019
    Review
  18. Article
  19. Review
  20. Modeling the Accuracy of TwoFrontiers in veterinary science · 2019
    Article

45 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

6 authors at 2 institutions in 2 countries.

K LyashchenkoPublic Health Research Institute, New York, New York 10016, USA.
R Colangeli
M Houde
H Al Jahdali
D Menzies
M L Gennaro
Public Health Institute · USMontreal Heart Institute · CA

Funding

NIAID NIH HHS AI-36896
6 · The paper itself

Abstract

Antibody responses during tuberculosis were analyzed by an enzyme-linked immunosorbent assay with a panel of 10 protein antigens of Mycobacterium tuberculosis. It was shown that serum immunoglobulin G antibodies were produced against a variety of M. tuberculosis antigens and that the vast majority of sera from tuberculosis patients contained antibodies against one or more M. tuberculosis antigens. The number and the species of serologically reactive antigens varied greatly from individual to individual. In a given serum, the level of specific antibodies also varied with the antigen irrespective of the total number of antigens recognized by that particular serum. These findings indicate that person-to-person heterogeneity of antigen recognition, rather than recognition of particular antigens, is a key attribute of the antibody response in tuberculosis.

Indexed as

Antibodies, BacterialAntigens, BacterialHumansRecombinant Fusion ProteinsTuberculosisAntibodies, BacterialAntigens, BacterialRecombinant Fusion Proteins

Identifiers

PMID9673283
PMCPMC108457
OpenAlexW2125518600

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.