Evidence map›Paper›PMID 33777000›Full record

ArticleFrontiers in immunology2021

HIV-Infected Patients Developing Tuberculosis Disease Show Early Changes in the Immune Response to Novel

Noemi Rebecca Meier, Manuel Battegay, Tom H M Ottenhoff, Hansjakob Furrer, Johannes Nemeth, Nicole Ritz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Recognition and control ofFrontiers in tuberculosis · 2023
    Review
  5. Use of DosR and Rpf antigens from Mycobacterium tuberculosis to screen for latent and relapse tuberculosis infection in a tuberculosis endemic community of Huainan City.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
  6. An Immunoinformatic Strategy to Develop NewInternational journal of peptide research and therapeutics · 2022
    Article
  7. Review
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 6 institutions in 3 countries.

Noemi Rebecca MeierUniversity of Basel Children's Hospital, Mycobacterial Research Laboratory, Basel, Switzerland.
Manuel BattegayUniversity of Basel, Faculty of Medicine, Basel, Switzerland.
Tom H M OttenhoffLeiden University Medical Center, Department of Infectious Diseases, Leiden, Netherlands.
Hansjakob FurrerDepartment of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.
Johannes NemethDivision of Infectious Diseases, Zürich University Hospital, University of Zürich, Zurich, Switzerland.
Nicole RitzUniversity of Basel Children's Hospital, Mycobacterial Research Laboratory, Basel, Switzerland.
Leiden University Medical Center · NLRoyal Children's Hospital · AUUniversity Children’s Hospital Basel · CHUniversity Hospital of Basel · CHUniversity Hospital of Bern · CHUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAntigens, BacterialCase-Control StudiesCD4-Positive T-LymphocytesCells, CulturedCohort StudiesCytokinesFemaleHIV-1HIV InfectionsHumansImmunityImmunologic TestsLatent TuberculosisMaleMiddle AgedAntigens, BacterialCytokinesMycobacterium tuberculosis antigensIGRAIP-10LTBIMycobacterium tuberculosisRVTBT cell responseTNF-alpha

Identifiers

PMID33777000
PMCPMC7994263
OpenAlexW3136655355

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.