Evidence map›Paper›PMID 22766981›Full record

SynthesisAnnals of surgical oncology2012

Chemotherapy-associated liver injury in patients with colorectal liver metastases: a systematic review and meta-analysis.

Stuart M Robinson, Colin H Wilson, Alastair D Burt, Derek M Manas, Steven A White

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Annals of surgical oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 3% 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

97 citing papers in PubMed, 3 syntheses or guidelines pooled it, 218 citations in OpenAlex.

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37 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Stuart M RobinsonDepartment of HPB Surgery, Freeman Hospital, Newcastle upon Tyne, UK. s.m.robinson@ncl.ac.uk
Colin H Wilson
Alastair D Burt
Derek M Manas
Steven A White
Freeman Hospital · GBRoyal Victoria Infirmary · GB

Funding

Wellcome TrustWellcome Trust WT090974MA
6 · The paper itself

Abstract

backgroundChemotherapy-associated liver injury is a major cause for concern when treating patients with colorectal liver metastases. The aim of this review was to determine the pathological effect of specific chemotherapy regimens on the hepatic parenchyma as well as on surgical morbidity, mortality and overall survival.

methodsA systematic review of the published literature and a meta-analysis were performed. For each of the variables under consideration, the effects of different chemotherapy regimens were determined by calculation of relative risks by a random-effects model.

resultsHepatic parenchymal injury is regimen specific, with oxaliplatin-based regimens being associated with grade 2 or greater sinusoidal injury (number needed to harm 8; 95 % confidence interval [CI] 6.4-13.6), whereas irinotecan-based regimens associated with steatohepatitis (number needed to harm 12; 95 % CI 7.8-26). The use of bevacizumab alongside FOLFOX reduces the risk of grade 2 or greater sinusoidal injury (relative risk 0.34; 95 % CI 0.15-0.75).

conclusionsChemotherapy before resection of colorectal liver metastases is associated with an increased risk of regimen-specific liver injury. This liver injury may have implications for the functional reserve of the liver for patients undergoing major hepatectomy for colorectal liver metastases.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsFatty LiverLiver NeoplasmsHumansPrognosis

Identifiers

PMID22766981
PMCPMC3505531
OpenAlexW1975010709

What OpenQuestion holds

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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.