Evidence map›Paper›PMID 27349194›Full record

ReviewNature reviews. Clinical oncology2016

Addressing unwarranted variations in colorectal cancer outcomes: a conceptual approach.

Muralee Menon, Chris Cunningham, David Kerr

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2016. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. A Darwinian Perspective on Tumor Evolution.International journal of biological sciences · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. OncoTargets and therapy · 2019
    Article
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

3 authors.

Muralee MenonNuffield Division of Clinical and Laboratory Science, Radcliffe Department of Medicine, Level 4, Academic Block, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK.
Chris CunninghamDepartment of Colorectal Surgery, Cancer Centre, Churchill Hospital, Oxford University Hospital NHS Foundation Trust, Old Road, Headington, Oxford OX3 7LE, UK.
David KerrNuffield Division of Clinical and Laboratory Science, Radcliffe Department of Medicine, Level 4, Academic Block, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the clinical setting, the term 'unwarranted variation' refers to variations in patient outcomes that cannot be explained by the patient's underlying illness or medical needs, or the dictates of evidence-based medicine. These types of variations persist even after adjusting for patient-specific factors. Unwarranted variation depends on a complex mix of disparities, including inequalities in access to appropriate care in a wide variety of geographical and cultural settings, in the uptake and application of clinical knowledge, in the prioritization and allocation of resources, and differences in organizational and professional culture. Nevertheless, unwarranted variation has been inexorably linked with clinical practice. Thus, awareness of the antecedents of unwarranted variations in clinical practice is strategically important. In this Perspective, we discuss these antecedents in colorectal cancer clinical care pathways with an emphasis upon the multidisciplinary team (MDT), and suggest pragmatic steps that could be taken to address latent unwarranted variation.

Indexed as

Colorectal NeoplasmsCritical CareEnglandHealth ResourcesHumansPrognosisQuality of Health CareRisk AssessmentSurvival AnalysisUncertaintyWales

Identifiers

What OpenQuestion holds

Textmetadata
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.