Evidence map›Paper›PMID 24227369›Full record

ArticleThe British journal of surgery2013

Population-based cohort study comparing 30- and 90-day institutional mortality rates after colorectal surgery.

B E Byrne, R Mamidanna, C A Vincent, O Faiz

Abstract readComparative Study
In one paragraph

Article in The British journal of surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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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

4 authors.

B E ByrneCentre for Patient Safety and Service Quality, Imperial College London, St Mary's Campus, and.
R Mamidanna
C A Vincent
O Faiz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical mortality results are increasingly being reported and published in the public domain as indicators of surgical quality. This study examined how mortality outlier status at 90 days after colorectal surgery compares with mortality at 30 days and subsequent intervals in the first year after surgery.

methodsAll adults undergoing elective and emergency colorectal resection between April 2001 and February 2007 in English National Health Service (NHS) Trusts were identified from administrative data. Funnel plots of postoperative case mix-adjusted institutional mortality rate against caseload were created for 30, 90, 180 and 365 days. High- or low-mortality unit status of individual Trusts was defined as breaching upper or lower third standard deviation confidence limits on the funnel plot for 90-day mortality.

resultsA total of 171 688 patients from 153 NHS Trusts were included. Some 14 537 (8·5 per cent) died within 30 days of surgery, 19 466 (11·3 per cent) within 90 days, 23 942 (13·9 per cent) within 180 days and 31 782 (18·5 per cent) within 365 days. Eight institutions were identified as high-mortality units, including all four units with high outlying status at 30 days. Twelve units were low-mortality units, of which six were also low outliers at 30 days. Ninety-day mortality correlated strongly with later mortality results (rs  = 0·957, P < 0·001 versus 180-day mortality; rs  = 0·860, P < 0·001 versus 365-day mortality).

conclusionExtending mortality reporting to 90 days identifies a greater number of mortality outliers when compared with the 30-day death rate. Ninety-day mortality is proposed as the preferred indicator of perioperative outcome for local analysis and public reporting.

Indexed as

AdultAgedCohort StudiesColectomyColorectal NeoplasmsElective Surgical ProceduresEmergency TreatmentFemaleHospital MortalityHumansLaparoscopyMaleMiddle AgedRisk FactorsTime Factors

Identifiers

PMID24227369
PMCPMC4065361

What OpenQuestion holds

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LicenceCC BY-NC
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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.