Evidence map›Paper›PMID 33168335›Full record

ArticleEuropean journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology2021

Improving outcome prediction in individuals with colorectal cancer and diabetes by accurate assessment of vascular complications: Implications for clinical practice.

Rebecca J Birch, Amy Downing, Paul J Finan, Simon Howell, Ramzi A Ajjan, Eva J A Morris

Open access · hybridAbstract read
In one paragraph

Article in European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  3. Perspective of Continuous Glucose Monitoring-Based Interventions at the Various Stages of Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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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 at 2 institutions in 1 country.

Rebecca J BirchLeeds Institute for Data Analytics, Level 11, Worsley Building, University of Leeds, Leeds, LS2 9JT, UK; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. Electronic address: r.j.birch@leeds.ac.uk.
Amy DowningLeeds Institute for Data Analytics, Level 11, Worsley Building, University of Leeds, Leeds, LS2 9JT, UK; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Paul J FinanLeeds Institute for Data Analytics, Level 11, Worsley Building, University of Leeds, Leeds, LS2 9JT, UK; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Simon HowellLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK; Leeds Teaching Hospitals NHS Trust, UK.
Ramzi A AjjanLeeds Teaching Hospitals NHS Trust, UK; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
Eva J A MorrisNuffield Department of Population Health, Big Data Institute, Old Road Campus, University of Oxford, Headington, Oxford, OX3 7LF, UK.
University of Leeds · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is considered a risk factor for mortality following a diagnosis of cancer. We hypothesised that the risk will vary due to the heterogeneous nature of the population and accurate classification of vascular complications will improve prediction of clinical outcomes.

methodsThe COloRECTal cancer data Repository (CORECT-R) was used to identify individuals with primary colorectal cancer, who underwent surgical resection in England (2005-2016). Diabetes was recorded using ICD10 codes (E10-E14) during inpatient hospital admission in the six years preceding cancer diagnosis, complication status was determined using the adapted Diabetes Complications Severity Index (aDCSI). Survival and post-operative outcomes were compared between groups.

resultsOf 232,367 individuals, 28,642 (12.3%) were recorded as having diabetes, 49.2% of whom had complications according to the aDCSI. Patients with diabetes complications had increased incidence of adverse post-operative outcomes (90-day post-operative mortality (6.6% versus 3.2%) and death during the surgical episode (7.9% versus 3.6%)), compared to those without diabetes. Those without complications had rates comparable to the population without diabetes. The odds of death within a year of diagnosis were higher for those with complicated diabetes compared to those without diabetes [OR 1.58 (95%CI 1.51-1.66) p < 0.01], but no difference was observed between those with uncomplicated diabetes and those without diabetes [OR 1.05 (95%CI 0.99-1.11) p = 0.10].

conclusionsPrediction of outcome following surgery in colorectal cancer patients with diabetes relies on the accurate assessment of complications. This study suggests that the poor post-operative outcomes in diabetes patients may be associated with diabetes complication rather than diabetes itself.

Indexed as

AdultAgedAged, 80 and overColorectal NeoplasmsDiabetic AngiopathiesFemaleHumansMaleMiddle AgedPostoperative Complicationscolorectal cancercomorbiditydiabetesoutcomessurgery

Identifiers

PMID33168335
PMCPMC8117971
OpenAlexW3097689465

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.