Evidence map›Paper›PMID 28735467›Full record

ArticleJournal of cancer survivorship : research and practice2017

Outcomes of preexisting diabetes mellitus in breast, colorectal, and prostate cancer.

Robert I Griffiths, José M Valderas, Emily C McFadden, Clare R Bankhead, Bernadette A Lavery, Nada F Khan, Richard J Stevens, Nancy L Keating

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Observational
  8. 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

8 authors at 5 institutions in 2 countries.

Robert I GriffithsNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK. robert.griffiths@conted.ox.ac.uk.
José M ValderasHealth Services & Policy Research Group and Exeter Collaboration for Primary Care (APEx), University of Exeter, Exeter, EX4 4SB, UK.
Emily C McFaddenNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Clare R BankheadNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Bernadette A LaveryOxford University Hospitals NHS Trust, Oxford, OX3 9DU, UK.
Nada F KhanRoyal Liverpool University Hospital, L7 8XP, Liverpool, UK.
Richard J StevensNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Nancy L KeatingDepartment of Health Care Policy, Harvard Medical School, Boston, 02115, USA.
University of Oxford · GBHarvard University · USOxford University Hospitals NHS Trust · GBUniversity of Exeter · GBUniversity of Liverpool · GB

Funding

Behavioral Economics and Improving Chemotherapy Decisions for Advanced CancerK24CA181510 · NCI · HARVARD MEDICAL SCHOOL · PI KEATING, NANCY L · 2014 to 2018
$867k
Cancer Research UK 16609National Cancer Institute K24CA181510NCI NIH HHS K24 CA181510
6 · The paper itself

Abstract

purposePreexisting diabetes is associated with increased morbidity and mortality in cancer. We examined the impact of incident cancer on the long-term outcomes of diabetes.

methodsUsing the United Kingdom Clinical Practice Research Datalink, we identified three cohorts of diabetes patients subsequently diagnosed with breast, colorectal, or prostate cancer, each matched to diabetic noncancer controls. Patients were required to have survived at least 1 year after cancer diagnosis (cases) or a matched index date (controls), and were followed up to 10 years for incident microvascular and macrovascular complications and mortality. Multivariate competing risks regression analyses were used to compare outcomes between cancer patients and controls.

resultsOverall, there were 3382 cancer patients and 11,135 controls with 59,431 person-years of follow-up. In adjusted analyses, there were no statistically significant (p ≤ 0.05) differences in diabetes complication rates between cancer patients and their controls in any of the three cancer cohorts. Combined, cancer patients were less likely (adjusted hazard ratio [HR] 0.88; 95% CI = 0.79-0.98) to develop retinopathy. Cancer patients were more likely to die of any cause (including cancer), but prostate cancer patients were less likely to die of causes associated with diabetes (HR 0.61; 95% CI = 0.43-0.88). CONCLUSIONS AND IMPLICATIONS: There is no evidence that incident cancer had an adverse impact on the long-term outcomes of preexisting diabetes. IMPLICATIONS FOR CANCER SURVIVORS: These findings are important for cancer survivors with preexisting diabetes because they suggest that substantial improvements in the relative survival of several of the most common types of cancer are not undermined by excess diabetes morbidity and mortality.

Indexed as

AgedAged, 80 and overBreast NeoplasmsColorectal NeoplasmsFemaleHumansMaleMiddle AgedProportional Hazards ModelsProstatic NeoplasmsSurvivorsTreatment OutcomeBreast neoplasmsColorectal neoplasmsDiabetes complicationsDiabetes mellitusEpidemiologyMortalityOutcome assessment (health care)Prostatic neoplasms

Identifiers

PMID28735467
PMCPMC5602069
OpenAlexW2736712983

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.