ArticleBMC surgery2026
Early predictors of in-hospital mortality after percutaneous cholecystostomy.
Article in BMC surgery, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute cholecystitis is a common cause of emergency surgical admission, particularly among elderly and medically complex patients. Percutaneous cholecystostomy (PC) is frequently used as a minimally invasive treatment option for patients considered unsuitable for early cholecystectomy. However, factors associated with in-hospital mortality and the impact of radiologic disease burden after PC remain incompletely characterized.
methodsWe conducted a retrospective single-center cohort study including consecutive adult patients who underwent image-guided PC for acute cholecystitis between January 2022 and December 2025. Clinical, laboratory, procedural, and radiologic variables were analyzed. Factors associated with in-hospital mortality were evaluated using multivariable logistic regression analysis. An exploratory radiologic severity score (RSS) was constructed using predefined imaging findings including pericholecystic fluid, gallbladder perforation, emphysematous cholecystitis, and gallbladder wall thickness ≥ 7 mm. Associations between RSS and inflammatory response following PC were also assessed.
resultsA total of 266 patients were included (mean age 64.9 ± 17.1 years; 56.4% male). The overall in-hospital mortality rate was 7.5% (n = 20). Factors independently associated with in-hospital mortality included older age (OR, 2.06 per 10-year increase, 95% CI, 1.25-3.39), malignancy (OR, 9.19, 95% CI, 2.71-31.22), elevated LDH (OR, 1.86 per 100 U/L increase, 95% CI, 1.23-2.81), and higher post-procedural day-3 CRP levels (OR, 2.17 per 50 mg/L increase, 95% CI, 1.32-3.55). The multivariable model demonstrated good discriminative performance in internal validation (cross-validated AUC: 0.895). Higher RSS values were associated with reduced CRP decline following PC (p = 0.041), suggesting slower inflammatory resolution. However, RSS was not significantly associated with mortality or hospital length of stay.
conclusionIn this retrospective cohort, in-hospital mortality after percutaneous cholecystostomy was primarily associated with baseline patient vulnerability and persistent early inflammatory response after the intervention. Radiologic disease burden appeared to correlate with inflammatory recovery rather than mortality. Given the retrospective design, limited number of mortality events, and lack of external validation, these findings should be considered exploratory and hypothesis-generating. Prospective multicenter studies are warranted to further validate these observations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.