Evidence map›Paper›PMID 29204270›Full record

ArticlePerioperative medicine (London, England)2017

Comparison of risk-scoring systems in the prediction of outcome after liver resection.

S Ulyett, G Shahtahmassebi, S Aroori, M J Bowles, C D Briggs, M G Wiggans, G Minto, D A Stell

Abstract read
In one paragraph

Article in Perioperative medicine (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
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

8 authors.

S UlyettDerriford Hospital, Plymouth, PL6 8DH UK.ORCID 0000-0002-1564-3098
G ShahtahmassebiPeninsula Schools of Medicine and Dentistry, Plymouth University, Plymouth, PL6 8BU UK.
S ArooriDerriford Hospital, Plymouth, PL6 8DH UK.
M J BowlesDerriford Hospital, Plymouth, PL6 8DH UK.
C D BriggsDerriford Hospital, Plymouth, PL6 8DH UK.
M G WiggansDerriford Hospital, Plymouth, PL6 8DH UK.
G MintoDerriford Hospital, Plymouth, PL6 8DH UK.
D A StellDerriford Hospital, Plymouth, PL6 8DH UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk prediction techniques commonly used in liver surgery include the American Society of Anesthesiologists (ASA) grading, Charlson Comorbidity Index (CCI) and cardiopulmonary exercise tests (CPET). This study compares the utility of these techniques along with the number of segments resected as predictive tools in liver surgery.

methodsA review of a unit database of patients undergoing liver resection between February 2008 and January 2015 was undertaken. Patient demographics, ASA, CCI and CPET variables were recorded along with resection size. Clavien-Dindo grade III-V complications were used as a composite outcome in analyses. Association between predictive variables and outcome was assessed by univariate and multivariate techniques.

resultsOne hundred and seventy-two resections in 168 patients were identified. Grade III-V complications occurred after 42 (24.4%) liver resections. In univariate analysis of CPET variables, ventilatory equivalents for CO

conclusionsOf the techniques evaluated, resection size provides the simplest and most discriminating predictor of significant complications following liver surgery.

Indexed as

Cardiopulmonary exercise testingLiver resectionPreoperative assessmentSurgical complications

Identifiers

PMID29204270
PMCPMC5702139

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.