ArticleBMC geriatrics2026
Can we predict postoperative complications in octogenarians undergoing lung resection?
Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to determine the parameters that should be taken into consideration to predict the development of postoperative complications in patients aged 80 years and over (octogenarians) who underwent lung resection.
methodsThe data of 49 octogenarian patients who underwent lung resection between January 2016 and June 2025 were retrospectively analyzed. Patient demographics, operative parameters, and predictive indices and scores for postoperative complications (Charlson Comorbidity Index (CCI), Simplified Comorbidity Index (SCI), American Society of Anesthesiologists (ASA), Glasgow Prognostic Score (GPS), The Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) and Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM)) were calculated. Postoperative complications were recorded according to the Clavien-Dindo classification.
resultsThe mean age of the patients, 79.6% of whom were male, was 81.98 ± 2.07 years. Statistically significantly fewer complications were observed in those who underwent sublobar resection compared to lobar resection (38.9% vs. 76.9%, p = 0.019). No correlation was found between CCI, SCI, ASA, and GPS scores and the development of complications (p = 0.170, p = 0.246, p = 0.774, p = 0.158, respectively), while ARISCAT and POSSUM scores were found to be predictive of complication development (p < 0.001, p < 0.001). In the multivariate analysis, while the extent of resection lost its status as an independent risk factor (p = 0.222), the classified ARISCAT score and the POSSUM score grouped according to the cut-off value determined by ROC analysis remained independent factors in predicting the development of complications. Patients in the high-risk group according to the ARISCAT score (OR = 16.482, 95% CI = 1.376-197.339, p = 0.027) and those with a POSSUM score above 31.100 (OR = 36.308, 95% CI = 3.889-338.952, p = 0.002) had a significantly higher incidence of postoperative complications.
conclusionsIn this single-centre study, higher ARISCAT and POSSUM scores were associated with the development of postoperative complications in octogenarians. Given the limited sample size, the wide confidence intervals, and the predominance of minor (Clavien-Dindo grade I-II) complications, these scores should be regarded as promising adjuncts for risk stratification that require validation in larger, prospective, multicentre studies before being applied to patient selection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.