Evidence map›Paper›PMID 38097268›Full record

ArticleBJGP open2024

Learning from new colorectal cancers: a qualitative synthesis of significant event reports.

Nicola Cooper-Moss, Achint Bajpai, Neil Smith, Samuel William David Merriel, Umesh Chauhan

Abstract read
In one paragraph

Article in BJGP open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicola Cooper-MossSchool of Medicine, Faculty of Health and Biomedical Sciences, University of Central Lancashire, Preston, UK nicolacooper-moss@nhs.net.ORCID https://orcid.org/0000-0003-0527-6287
Achint BajpaiSchool of Medicine, Faculty of Health and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Neil SmithLancashire and South Cumbria Cancer Alliance, Manchester, UK.
Samuel William David MerrielCentre for Primary Care and Health Services Research, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0003-2919-9087
Umesh ChauhanSchool of Medicine, Faculty of Health and Biomedical Sciences, University of Central Lancashire, Preston, UK.ORCID https://orcid.org/0000-0002-0747-591X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer is the second leading cause of cancer-related mortality in the UK and a significant contributor to morbidity and mortality worldwide. Early diagnosis provides opportunities for intervention and improved survival. Significant event analysis (SEA) is a well-established quality improvement method for learning from new cancer diagnoses.

aimTo provide additional insights into diagnostic processes for colorectal cancer and to identify areas for improvement in patient care pathways. DESIGN &

settingFifty-three general practices across Pennine Lancashire, England, submitted one or more SEA reports as part of an incentivised scheme.

methodA standardised data collection form was used to collate learning points and recommendations for improvements. In total, 161 reports were analysed using an inductive framework analysis approach.

resultsThere was an overarching theme of building vigilance and collaboration between and within general practices and secondary care. The following four main sub-themes were also identified: education; individualised and flexible care; ownership and continuity; and communication.

conclusionThese findings provide additional insights into colorectal cancer pathways from a primary care perspective. Practices should be supported in developing protocols for assessment and follow-up of patients with varying presentations. Screening and access to investigations are paramount for improving early diagnosis; however, a flexible diagnostic approach is required according to the individual circumstances of each patient.

Indexed as

cancerneoplasmsprimary health carequalitative research

Identifiers

PMID38097268
PMCPMC11300975

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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.