Evidence map›Paper›PMID 33936323›Full record

ArticleDisease markers2021

Diagnostic Accuracy with Total Adenosine Deaminase as a Biomarker for Discriminating Pleural Transudates and Exudates in a Population-Based Cohort Study.

Bernardo Henrique Ferraz Maranhão, Cyro Teixeira da Silva Junior, Jorge Luiz Barillo, Carmem Lucia Teixeira de Castro, Joeber Bernardo Soares de Souza, Patricia Siqueira Silva, Roberto Stirbulov

Abstract readEvaluation Study
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Biomarkers of the Complement System in Cancer.Medeniyet medical journal · 2025
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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.

Bernardo Henrique Ferraz MaranhãoDepartment of Specialized Medicine, Federal University of the State of Rio de Janeiro, Brazil.
Cyro Teixeira da Silva JuniorDepartment of Clinics, School of Medicine, Pleurology Teaching and Research Laboratory from Professor Mazzini Bueno Tuberculosis Research and Assistance Center, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0003-0067-1341
Jorge Luiz BarilloGeneral Hospital Santa Teresa, Petropolis, Rio de Janeiro, Brazil.
Carmem Lucia Teixeira de CastroProfessor Mazzini Bueno Tuberculosis Research and Assistance Center, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil.
Joeber Bernardo Soares de SouzaGeneral Hospital Santa Teresa, Petropolis, Rio de Janeiro, Brazil.
Patricia Siqueira SilvaProfessor Mazzini Bueno Tuberculosis Research and Assistance Center, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil.
Roberto StirbulovDepartment of Clinics, Faculty of Medical Sciences, Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn initial step in the evaluation of patients with pleural effusion syndrome (PES) is to determine whether the pleural fluid is a transudate or an exudate.

objectivesTo investigate total adenosine deaminase (ADA) as a biomarker to classify pleural transudates and exudates.

methodsAn assay of total ADA in pleural fluids (P-ADA) was observed using a commercial kit in a population-based cohort study.

results157 pleural fluid samples were collected from untreated individuals with PES due to several causes. The cause most prevalent in transudate samples (21%,

conclusionsP-ADA is a useful biomarker for distinguishing pleural exudates from transudates.

Indexed as

Adenosine DeaminaseAdultAgedBiomarkers, TumorExudates and TransudatesFemaleHumansMaleMiddle AgedPleural Effusion, MalignantSensitivity and SpecificityAdenosine DeaminaseBiomarkers, Tumor

Identifiers

PMID33936323
PMCPMC8055387

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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.