Evidence map›Paper›PMID 27112591›Full record

ArticleInternational journal of colorectal disease2016

Active and passive compliance in an enhanced recovery programme.

Christopher C Thorn, Ian White, Jennie Burch, George Malietzis, Robin Kennedy, John T Jenkins

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Article in International journal of colorectal disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  14. The Impact of Prehabilitation on Post-operative Outcomes in Oesophageal Cancer Surgery: a Propensity Score Matched Comparison.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. VATS Group ERAS Registry.Journal of thoracic disease · 2018
    Review
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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

6 authors.

Christopher C ThornSt. Mark's Hospital, Watford Road, Harrow, London, HA1 3UJ, UK.
Ian WhiteSt. Mark's Hospital, Watford Road, Harrow, London, HA1 3UJ, UK.
Jennie BurchSt. Mark's Hospital, Watford Road, Harrow, London, HA1 3UJ, UK.
George MalietzisSt. Mark's Hospital, Watford Road, Harrow, London, HA1 3UJ, UK.
Robin KennedySt. Mark's Hospital, Watford Road, Harrow, London, HA1 3UJ, UK.
John T JenkinsSt. Mark's Hospital, Watford Road, Harrow, London, HA1 3UJ, UK. i.jenkins@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEnhanced recovery after surgery (ERAS) is a well-established and accepted practice following colorectal surgery and has been demonstrated to reduce hospital length of stay (LOS) and 30-day morbidity. Despite evidence to support the individual elements on which the programme is based, there remains uncertainty as to how many and which of these are required to realise its benefits. Furthermore, elements of an ERAS programme might either precipitate or reflect recovery, in which case compliance could have a role in the improvement or prediction of outcome. MATERIALS AND

methodsA multidimensional prospective database of 799 consecutive patients undergoing colorectal surgery within an established ERAS programme at a single institution was interrogated. After application of exclusion criteria, 614 patients were studied. The novel concept of 'active compliance' is introduced. An ERAS element is classified as 'active' if the participation of the patient is required to achieve its compliance. This contrasts with 'passive' compliance, where an intervention is delivered to the patient without their direct contribution. The short-term surgical outcomes of this cohort are reported with reference to ERAS protocol compliance.

resultsCompliance with the passive elements of the programme was higher than with the active elements. Univariate and multivariate analyses demonstrate that poor compliance with active but not passive elements of the programme was significantly associated with major morbidity. Receiver operator characteristic curve analysis demonstrated active compliance to be a stronger predictor of both major morbidity (AUC 0.71 vs. AUC 0.56) and length of stay (AUC 0.83 vs. 0.57) when compared with passive compliance.

conclusionThe results suggest that poor active compliance may be a surrogate marker of morbidity which can be recognised in the early post-operative period. This implies the potential for timely diagnosis and intervention. This aspect of ERAS compliance is clinically relevant yet has achieved scant attention. Independent validation of our observations is required.

Indexed as

Patient ComplianceRecovery of FunctionAgedCohort StudiesFemaleHumansLength of StayMaleMiddle AgedMultivariate AnalysisPostoperative ComplicationsROC CurveTreatment OutcomeEnhanced recovery after surgeryLength of staySurgical morbidity

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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.