Evidence map›Paper›PMID 36352456›Full record

ArticlePerioperative medicine (London, England)2022

An algorithm based on the postoperative decrease of albumin (ΔAlb) to anticipate complications after liver surgery.

Ismail Labgaa, Luis Cano, Orsalia Mangana, Gaëtan-Romain Joliat, Emmanuel Melloul, Nermin Halkic, Markus Schäfer, Eric Vibert, Nicolas Demartines, Nicolas Golse and 1 more

Open access · goldAbstract read
In one paragraph

Article in Perioperative medicine (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Ismail Labgaa *Department of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland. ismail.labgaa@chuv.ch.
Luis Cano *Nutrition Metabolism and Cancer, INSERM, University of Rennes, INRAE, CHU Pontchaillou, UMR 1241 NUMECAN, Rennes, France.
Orsalia ManganaDepartment of Hepatobiliary Surgery, Paul-Brousse Hospital, Assistance Publique Hôpitaux de Paris, Centre Hépato-Biliaire, 94800, Villejuif, France.
Gaëtan-Romain JoliatDepartment of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
Emmanuel MelloulDepartment of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
Nermin HalkicDepartment of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
Markus SchäferDepartment of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
Eric VibertDepartment of Hepatobiliary Surgery, Paul-Brousse Hospital, Assistance Publique Hôpitaux de Paris, Centre Hépato-Biliaire, 94800, Villejuif, France.
Nicolas DemartinesDepartment of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland. Demartines@chuv.ch.
Nicolas GolseDepartment of Hepatobiliary Surgery, Paul-Brousse Hospital, Assistance Publique Hôpitaux de Paris, Centre Hépato-Biliaire, 94800, Villejuif, France.
Martin HübnerDepartment of Visceral Surgery, Lausanne University Hospital CHUV, University of Lausanne (UNIL), Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
University Hospital of Lausanne · CHInserm · FRHôpital Paul-Brousse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerioperative decrease of albumin (ΔAlb) appeared as a promising predictor of complications after digestive surgery, but its role after liver surgery remains unclear. This study aimed to analyze whether and how ΔAlb can be used to predict complications after liver surgery.

methodsA bicentric retrospective analysis of patients undergoing liver surgery (2010-2016) was performed, following TRIPOD guidelines. The preoperative and postoperative difference of albumin was calculated on POD 0 and defined as ΔAlb. Patients with any missing variable were excluded. The primary endpoint was overall complications according to the Clavien classification. A multiparametric algorithm based on ΔAlb was generated to optimize prediction performance.

resultsA total of 110 patients were analyzed. At least one complication occurred in 66 (60%) patients. Patients with and without complication showed a ΔAlb of 15.8 vs. 9.5 g/L (p<0.001). Area under ROC curve (AUC) of ΔAlb was 0.75 (p<0.01.). The ΔAlb-based algorithm showed an AUC of 0.84 (p<0.01), significantly improving performance (p=0.03). Multivariable analysis identified ΔAlb as independent predictor of complications (HR, 1.12; 95% CI, 1.01-1.07; p = 0.002).

conclusionsΔAlb appeared as a promising predictor independently associated with the risk of complication after liver surgery. The study presents a novel decision-tree based on ΔAlb to anticipate complications.

Indexed as

BiomarkersDecision-makingLiver resectionMorbidityPartial hepatectomyPredictors

Identifiers

PMID36352456
PMCPMC9647979
OpenAlexW4308684924

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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.