Evidence map›Paper›PMID 42859806›Full record

ArticleJournal of multidisciplinary healthcare2026

Use of Structured Risk Scores in Preoperative Pulmonary Assessment Among Pulmonologists and Pulmonary Medicine Residents in Türkiye: A Cross-Sectional Online Survey.

Sabri Serhan Olcay, Ceren Degirmenci, Beste Atabek, Fatih Tekin, Esra Temel, Metin Akgün

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sabri Serhan OlcayDepartment of Chest Diseases, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Türkiye.ORCID 0000-0002-3737-5813
Ceren DegirmenciDepartment of Chest Diseases, Muğla Training and Research Hospital, Muğla, Türkiye.ORCID 0000-0003-4274-0333
Beste AtabekPulmonology Clinic, Sultanbeyli State Hospital, İstanbul, Türkiye.ORCID 0009-0003-7714-3245
Fatih TekinPulmonology Clinic, Etlik City Hospital, Ankara, Türkiye.ORCID 0000-0001-6688-1427
Esra TemelPulmonology Clinic, Babaeski State Hospital, Kırklareli, Türkiye.ORCID 0000-0003-1037-0331
Metin AkgünDepartment of Pulmonary Medicine (Chest Diseases), Faculty of Medicine, Ağrı Ibrahim Çeçen University, Ağrı, Türkiye.ORCID 0000-0003-3404-4274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Structured risk scores are recommended to identify patients at risk of postoperative pulmonary complications (PPCs), yet their uptake among the specialists who deliver preoperative respiratory consultation is poorly characterised. We examined reported score use, associated factors, and the barriers reported by non-users. Methods: We conducted a cross-sectional online survey using voluntary convenience sampling of pulmonologists and pulmonary medicine residents in Türkiye, recruited through professional channels (September 2025-March 2026). The primary outcome was self-reported use of scoring systems in preoperative assessment; naming at least one validated PPC prediction model (ARISCAT/Canet, Gupta, or Arozullah) was analysed as a post hoc secondary outcome. Associated factors were explored using multivariable logistic regression with categorical coding of institution and professional position, collinearity diagnostics, and sensitivity analyses. Reporting followed STROBE and CHERRIES. Results: Of 202 respondents, 154 (76.2%; 95% CI 69.8-81.9) reported using scores and 142 (70.3%; 95% CI 63.5-76.5) named a validated PPC model; 135 of these 142 (95.1%) named ARISCAT/Canet, whereas the Gupta and Arozullah models were each named by ≤8.9% of respondents. University-hospital practice was associated with higher odds of score use than state/private-hospital practice (adjusted OR 5.93; 95% CI 1.77-19.94), and this association persisted in all sensitivity analyses. Residents and specialists did not differ after adjustment (OR 0.80; 95% CI 0.29-2.21). Academic-rank physicians reported lower use than residents (OR 0.21; 95% CI 0.06-0.78), but this exploratory finding was not robust to exclusion of internally inconsistent responses. Among the 38 consistent non-users, the most frequently reported barriers were limited assessment time (57.9%) and insufficient knowledge (26.3%). Conclusion: In this convenience sample, reported structured PPC risk assessment relied almost entirely on a single instrument and differed chiefly by institutional setting. These cross-sectional, self-reported findings suggest that education, workflow integration, and local comparative evaluation of candidate models merit prospective study.

Indexed as

ARISCAThealth care surveyspostoperative pulmonary complicationspreoperative carepulmonary medicinerisk assessment

Identifiers

PMID42859806
PMCPMC13653523

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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.