Evidence map›Paper›PMID 19639432›Full record

ArticleSurgery today2009

Volume-outcome relationship in rectal cancer surgery: a new perspective.

Hideo Yasunaga, Yutaka Matsuyama, Kazuhiko Ohe, Japan Surgical Society

Abstract read
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Article in Surgery today, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Rectal cancer surgery: volume-outcome analysis.International journal of colorectal disease · 2010
    Review
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

4 authors.

Hideo YasunagaDepartment of Health Management and Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Yutaka Matsuyama
Kazuhiko Ohe
Japan Surgical Society

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNumerous studies on the volume-outcome relationships in rectal cancer surgery have assessed surgical mortality. However, little is known about the association between hospital/surgeon volumes and postoperative complications, including anastomotic leakage and infection, following rectal cancer surgery.

methodsUsing a web-based patient registration system, data were collected on inpatients who underwent rectal cancer surgery between November 1, 2006 and February 28, 2007 in Japan. Using multivariate analyses, intraoperative blood loss, postoperative complications and length of stay were independently compared against the provider volumes and covariates.

resultsNo significant association was identified between the blood loss and hospital volume, while surgeons with the highest volume (> or =500 procedures) were likely to demonstrate a reduced blood loss (odds ratio, 0.67; 95% confidence interval, 0.46-0.99; P = 0.043). No significant relationship was found between the incidence of postoperative complications and the provider volume. A higher hospital volume significantly decreased the length of stay (hazard ratio, 1.41; 95% confidence interval, 1.23-1.62; P < 0.01), but the surgeon volume was not associated with the length of hospital stay.

conclusionThe present study did not find any significant relationship between the volume and postoperative complications. These results do not support the effectiveness of regionalizing rectal cancer surgery to high-volume centers, at least in the Japanese clinical setting.

Indexed as

AgedBlood Loss, SurgicalClinical CompetenceFemaleHumansInternetJapanLength of StayMaleMultivariate AnalysisOdds RatioPostoperative ComplicationsRectal NeoplasmsRegistriesSurgery Department, HospitalSurveys and Questionnaires

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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.