Evidence map›Paper›PMID 34076474›Full record

ArticleJournal of clinical microbiology2021

Evaluation of the Fully Automated Chemiluminescence Analyzer Liaison XL for the Performance of the QuantiFERON-TB Gold Plus Assay in an Area with a Low Incidence of Tuberculosis.

Miguel Fernández-Huerta, Clara Moreto, Neus Vila-Olmo, Erika-Inés García de Cara, María-Celeste Basaez, Miguel Santín, Fernando Alcaide

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Diagnostic Performance of New Commercial Interferon-Gamma Release Assays for Mycobacterium tuberculosis Infection: An Updated Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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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

7 authors at 1 institution in 1 country.

Miguel Fernández-HuertaMicrobiology Department, Bellvitge University Hospital-IDIBELL, LHospitalet de Llobregat, Barcelona, Spain.
Clara MoretoMicrobiology Department, Bellvitge University Hospital-IDIBELL, LHospitalet de Llobregat, Barcelona, Spain.
Neus Vila-OlmoMicrobiology Department, Bellvitge University Hospital-IDIBELL, LHospitalet de Llobregat, Barcelona, Spain.
Erika-Inés García de CaraMicrobiology Department, Bellvitge University Hospital-IDIBELL, LHospitalet de Llobregat, Barcelona, Spain.
María-Celeste BasaezBiochemistry Department, Hospital Interzonal General de Agudos Evita de Lanús, Lanús, Argentina.
Miguel SantínInfectious Diseases Department, Bellvitge University Hospital-IDIBELL, LHospitalet de Llobregat, Barcelona, Spain.
Fernando AlcaideMicrobiology Department, Bellvitge University Hospital-IDIBELL, LHospitalet de Llobregat, Barcelona, Spain.
Bellvitge University Hospital · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of latent tuberculosis infection (LTBI) is considered key in the control of tuberculosis. Interferon gamma (IFN-γ) release assays, such as the QuantiFERON-TB Gold Plus test (QFT-Plus), are now widely implemented for the

Indexed as

Latent TuberculosisMycobacterium tuberculosisTuberculosisAdultHumansIncidenceInterferon-gamma Release TestsLuminescenceSpainTuberculin TestchemiluminescenceLiaisonQuantiFERON-TBtuberculosis

Identifiers

PMID34076474
PMCPMC8373245
OpenAlexW3165329441

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.