Evidence map›Paper›PMID 35651362›Full record

ReviewERJ open research2022

A systematic review with meta-analysis of biomarkers for detection of pulmonary arterial hypertension.

A Josien Smits, Liza Botros, Marijke A E Mol, Kirsten A Ziesemer, Martin R Wilkins, Anton Vonk Noordegraaf, Harm Jan Bogaard, Jurjan Aman

Open access · goldAbstract readReview
In one paragraph

Review in ERJ open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Journal of preventive medicine and hygiene · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. A Reproducibility Crisis for Clinical Metabolomics Studies.Trends in analytical chemistry : TRAC · 2024
    Article
  13. Article
  14. Article
  15. Pulmonary circulation · 2023
    Article
  16. Article
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

8 authors at 2 institutions in 2 countries.

A Josien SmitsDept of Pulmonology, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9828-0407
Liza BotrosDept of Pulmonology, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.
Marijke A E MolUniversity Library UBVU, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.
Kirsten A ZiesemerUniversity Library UBVU, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.
Martin R WilkinsNational Heart and Lung Institute, Imperial College London, London, UK.
Anton Vonk NoordegraafDept of Pulmonology, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4057-758X
Harm Jan BogaardDept of Pulmonology, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.
Jurjan AmanDept of Pulmonology, Amsterdam University Medical Center, Amsterdam, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: The blood is a rich source of potential biomarkers for the diagnosis of idiopathic and hereditary pulmonary arterial hypertension (iPAH and hPAH, referred to as "PAH"). While a lot of biomarkers have been identified for PAH, the clinical utility of these biomarkers often remains unclear. Here, we performed an unbiased meta-analysis of published biomarkers to identify biomarkers with the highest performance for detection of PAH. Methods: A literature search (in PubMed, Embase.com, Clarivate Analytics/Web of Science Core Collection and Wiley/Cochrane Library) was performed up to 28 January 2021. Primary end points were blood biomarker levels in PAH Results: 149 articles were identified by the literature search. Meta-analysis of 26 biomarkers yielded 17 biomarkers that were differentially expressed in PAH and non-PH control subjects. Red cell distribution width, low density lipid-cholesterol, d-dimer, N-terminal prohormone of brain natriuretic protein (NT-proBNP), interleukin-6 (IL-6) and uric acid were biomarkers with the largest observed differences, largest sample sizes and a low risk of publication bias. Receiver operating characteristic curves and sensitivity/specificity analyses demonstrated that NT-proBNP had a high sensitivity, but low specificity for PAH. For the other biomarkers, insufficient data on diagnostic accuracy with receiver operating characteristic curves were available for meta-analysis. Conclusion: This meta-analysis validates NT-proBNP as a biomarker with high sensitivity for PAH, albeit with low specificity. The majority of biomarkers evaluated in this meta-analysis lacked either external validation or data on diagnostic accuracy. Further validation studies are required as well as studies that test combinations of biomarkers to improve specificity.

Identifiers

PMID35651362
PMCPMC9149393
OpenAlexW4281285435

What OpenQuestion holds

Textmetadata
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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.