Evidence map›Paper›PMID 37000114›Full record

ArticleBalkan medical journal2023

Are Guideline-recommended Risk Classification Schemes in Pulmonary Hypertension Adequately Robust to Guide the Real-world Setting?

Dursun Akaslan, Emre Aslanger, Halil Ataş, Derya Kocakaya, Bedrettin Yıldızeli, Bülent Mutlu

Abstract read
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Article in Balkan medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
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.

Dursun AkaslanClinic of Cardiology, Pendik Training and Research Hospital, Marmara University, İstanbul, TurkeyORCID 0000-0001-8741-9610
Emre AslangerClinic of Cardiology, Pendik Training and Research Hospital, Marmara University, İstanbul, TurkeyORCID 0000-0003-1533-2596
Halil AtaşClinic of Cardiology, Pendik Training and Research Hospital, Marmara University, İstanbul, TurkeyORCID 0000-0002-3423-509X
Derya KocakayaClinic of Pulmonology, Pendik Training and Research Hospital, Marmara University, İstanbul, TurkeyORCID 0000-0003-2910-6813
Bedrettin YıldızeliClinic of Thoracic Surgery, Pendik Training and Research Hospital, Marmara University, İstanbul, TurkeyORCID 0000-0002-1316-4552
Bülent MutluClinic of Cardiology, Pendik Training and Research Hospital, Marmara University, İstanbul, TurkeyORCID 0000-0003-0973-3422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary hypertension is a complex syndrome that encompasses a diverse group of pathophysiologies predisposed by different environmental and genetic factors. It is not clear to which extent the universal risk classification schemes can be applied to cohorts in individual pulmonary hypertension centers with differing environmental backgrounds, genetic pools, referral networks. Aims: To explore whether the recommended risk classification schemes could reliably be used for mortality prediction in an unselected pulmonary hypertension population of a tertiary pulmonary hypertension center. Study Design: A retrospective cross-sectional study. Methods: We retrospectively screened our hospital database for the patients with pulmonary hypertension between 2015 and 2022. The grouping of pulmonary hypertension was made as follows in accordance with current guidelines: Group 1: patients with pulmonary arterial hypertension, Group 2: patients with pulmonary hypertension associated with left heart disease, Group 3: patients with pulmonary hypertension associated with lung disease and/or hypoxia, and Group 4: patients with pulmonary hypertension associated with pulmonary artery obstructions. Then, we compared the predicted and observed mortality rates of four different risk classification schemes (REVEAL, REVEAL-Lite, ESC/ERS and COMPERA). Results: We identified 723 cases in our pulmonary hypertension database, the final study population consisted of 549 patients. The REVEAL, REVEAL-Lite and European Society of Cardiology/European Respiratory Society risk scores significantly underestimated the mortality risk in the low-risk stratum (5.3% vs. 1.9%, Conclusion: The established risk classification schemes may not perform as good as expected in unselected pulmonary hypertension populations and this may have important implications on management decisions. Tertiary centers should not uncritically accept the published risk prediction models and consider modifying current risk scores according to their own patient characteristics.

Indexed as

Hypertension, PulmonaryPulmonary Arterial HypertensionCross-Sectional StudiesHumansRetrospective StudiesRisk Assessment

Identifiers

PMID37000114
PMCPMC10175884

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