Evidence map›Paper›PMID 31182746›Full record

ArticleScientific reports2019

The value of indocyanine green clearance assessment to predict postoperative liver dysfunction in patients undergoing liver resection.

Christoph Schwarz, Immanuel Plass, Fabian Fitschek, Antonia Punzengruber, Martina Mittlböck, Stephanie Kampf, Ulrika Asenbaum, Patrick Starlinger, Stefan Stremitzer, Martin Bodingbauer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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  7. Optical and Optoacoustic Imaging Probes.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
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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 2 institutions in 1 country.

Christoph SchwarzDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Immanuel PlassDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Fabian FitschekDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Antonia PunzengruberDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Martina MittlböckSection for Medical Statistics, Medical University Vienna, Vienna, Austria.
Stephanie KampfDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Ulrika AsenbaumDepartment of Biomedical Imaging and Image Guided Therapy, Medical University Vienna, Vienna, Austria.
Patrick StarlingerDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Stefan StremitzerDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Martin BodingbauerDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria.
Klaus KaczirekDepartment of Surgery, Division of General Surgery, Medical University Vienna, Vienna, Austria. klaus.kaczirek@meduniwien.ac.at.
Medical University of Vienna · ATStatistics Austria · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative liver dysfunction remains a major concern following hepatic resection. In order to identify patients who are at risk of developing liver dysfunction, indocyanine green (ICG) clearance has been proposed to predict postoperative liver function. All patients who underwent liver resection at the Medical University Vienna, Austria between 2006 and 2015 with preoperative ICG clearance testing (PDR, R15) were analyzed in this study. Postoperative liver dysfunction was analyzed as defined by the International Study Group of Liver Surgery. Overall, 698 patients (male: 394 (56.4%); female: 304 (43.6%)) with a mean age of 61.3 years (SD: 12.9) were included in this study, including 313 minor liver resections (44.8%) and 385 major liver resections (55.2%). One hundred and seven patients developed postoperative liver dysfunction after liver resection (15.3%). Factors associated with liver dysfunction were: male sex (p = 0.043), major liver resection (p < 0.0001), and preoperative ICG clearance (PDR (p = 0.002) and R15 (p < 0.0001)). Notably ICG clearance was significantly associated with liver dysfunction in minor and major liver resections respectively and remained a predictor upon multivariable analysis. An optimal cut-off for preoperative ICG clearance to accurately predict liver dysfunction was PDR < 19.5%/min and R15 > 5.6%. To the best of our knowledge, this is the largest study analyzing the predictive value of preoperative ICG clearance assessment in patients undergoing liver resection. ICG clearance is useful to identify patients at risk of postoperative liver dysfunction.

Indexed as

HepatectomyFemaleHumansIndocyanine GreenLiverLiver Function TestsMaleMiddle AgedPostoperative PeriodIndocyanine Green

Identifiers

PMID31182746
PMCPMC6557886
OpenAlexW2952375625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.