ArticleLangenbeck's archives of surgery2026
Contemporary management pathways in liver trauma: predominant and successful use of non-operative strategies at a high-volume tertiary center.
Article in Langenbeck's archives of 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNon-operative management (NOM) has become the default for haemodynamically stable liver trauma, yet pathway-level performance and bedside predictors of mortality warrant contemporary appraisal in University trauma centres.
methodsWe conducted a single-centre retrospective cohort study of consecutive adults (≥ 18 years) with blunt or penetrating hepatic injury managed within a protocolised, physiology- and CT-guided pathway (1 Jan 2018–30 Apr 2025). The primary endpoint was in-hospital mortality. Secondary endpoints included NOM failure, liver-specific complications, and era-level outcomes (2018–2021 vs. 2022–2025). Independent predictors of mortality were assessed with multivariable logistic regression; discrimination was evaluated by ROC analysis.
resultsAmong 350 patients, NOM was initiated in 304 (86.9%); delayed conversion to laparotomy occurred in 15/304 (4.9%), including 5 after prior angioembolisation (IR in 32/350; 9.1%). Overall in-hospital mortality was 14.9% (52/350) and clustered in patients with physiological compromise and high global injury burden. Definitive management stratified patients into NOM and operative management cohorts, with lower mortality after definitive NOM than after operative management. In multivariable analysis, Shock Index (OR 2.71 per unit; p = 0.022), ISS (OR 1.05 per point; p < 0.001) and lactate (OR 1.17 per mmol/L; p = 0.031) independently increased the odds of death, whereas GCS was protective (OR 0.89 per point; p = 0.002); AAST high grade and era were not independently associated. Model discrimination was excellent (AUC 0.87; Youden-optimal sensitivity 0.92, specificity 0.74); Shock Index alone achieved AUC 0.75, while AAST grade provided modest separation (AUC 0.608). Secondary transfers (40.3%) incurred no survival penalty. Era comparison showed reduced operative exposure (21.5%→12.3%, OR 0.51, p = 0.024) and mortality (18.5%→10.3%, OR 0.51, p = 0.035) after formalising the pathway.
conclusionsIn a university trauma centre, a protocolised physiology- and CT-guided pathway delivered high NOM utilisation with low failure and era-level gains. Short-term mortality was driven predominantly by physiology and global injury severity rather than anatomical grade. Multicentre prospective and implementation studies are warranted to mitigate residual biases and validate pragmatic bedside risk composites.
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.