Evidence map›Paper›PMID 37491100›Full record

ArticleBMJ open2023

Using days alive and out of hospital to measure surgical outcomes in New Zealand: a cross-sectional study.

Luke Boyle, Thomas Lumley, David Cumin, Doug Campbell, Alan Forbes Merry

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  6. Long-term impact of emergency laparotomy on health-related quality of life.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
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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

5 authors at 2 institutions in 1 country.

Luke BoyleDepartment of Statistics, The University of Auckland, Auckland, New Zealand lboy505@aucklanduni.ac.nz.ORCID 0000-0001-6114-1833
Thomas LumleyDepartment of Statistics, The University of Auckland, Auckland, New Zealand.
David CuminDepartment of Anaesthesiology, The University of Auckland, Auckland, New Zealand.
Doug CampbellDepartment of Anaesthesia, Auckland City Hospital, Auckland, New Zealand.
Alan Forbes MerryDepartment of Anaesthesiology, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-7100-009X
University of Auckland · NZAuckland City Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo measure differences at various deciles in days alive and out of hospital to 90 days (DAOH

methodsDays in hospital and mortality within 90 days of surgery were extracted by linking data from the New Zealand National Minimum Data Set and the births and deaths registry between 1 January 2011 and 31 December 2021 for all adults in New Zealand undergoing acute laparotomy (AL-a relatively high-risk group), elective total hip replacement (THR-a medium risk group) or lower segment caesarean section (LSCS-a low-risk group). DAOH

resultsWe obtained national data for 35 175, 52 032 and 117 695 patients undergoing AL, THR and LSCS procedures, respectively. We have demonstrated that calculating DAOH without censoring zero allows for differences between procedures and DHBs to be identified. Risk-adjusted national mean DAOH

conclusionIn New Zealand after direct risk adjustment, differences in DAOH

Indexed as

Cesarean SectionHospitalsAdultCross-Sectional StudiesFemaleHexestrolHumansNew ZealandPregnancyTreatment OutcomedihydrodibutylstilbestrolHexestrolhealth policyquality in health carestatistics & research methodssurgery

Identifiers

PMID37491100
PMCPMC10373692
OpenAlexW4385248971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.