Evidence map›Paper›PMID 41402270›Full record

ArticleNature communications2025

Cancer stage at diagnosis by duration of pre-existing chronic analgesic use and anxiety or depression.

Helen Fowler, Georgios Lyratzopoulos, Meena Rafiq, Matthew E Barclay, Gary A Abel, Cristina Renzi

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

6 authors.

Helen FowlerEpidemiology of Cancer Healthcare and Outcomes Group, University College London, London, UK. h.fowler@ucl.ac.uk.ORCID 0000-0003-2233-3183
Georgios LyratzopoulosEpidemiology of Cancer Healthcare and Outcomes Group, University College London, London, UK.ORCID 0000-0002-2873-7421
Meena RafiqEpidemiology of Cancer Healthcare and Outcomes Group, University College London, London, UK.
Matthew E BarclayEpidemiology of Cancer Healthcare and Outcomes Group, University College London, London, UK.ORCID 0000-0003-1148-1922
Gary A AbelDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter Medical School, Exeter, UK.
Cristina RenziEpidemiology of Cancer Healthcare and Outcomes Group, University College London, London, UK.

Funding

Cancer Research UK (CRUK) EDDCPJT\100018
6 · The paper itself

Abstract

Pre-existing chronic diseases may delay or expedite cancer diagnosis. Here, we examine variations in cancer stage at diagnosis based on duration and type of common chronic conditions. We identify lung and colon cancers diagnosed 2012-2018 from national cancer registration, and pre-existing physical and mental-health conditions from linked primary care records. Using multivariable logistic regression, we explore associations between the most prevalent conditions (Anxiety/Depression and Chronic Analgesic Medication use), classified as "Recent-onset" (first recorded <12months pre-cancer) or "Persistent/Historic" (12-72 months pre-cancer), and cancer stage at diagnosis. We show that recent-onset Analgesic Medication use can be associated with increased odds of advanced stage lung or colon cancer diagnosis. Conversely, persistent/historic Chronic Analgesic Medication use can be associated with reduced odds of advanced stage lung cancer and persistent/historic Anxiety/Depression with reduced odds of advanced stage lung or colon cancer. Persistent or historic conditions may increase healthcare utilisation, offering opportunities for early cancer diagnosis. Recent-onset conditions may lead to delays through the alternative explanations or competing demands mechanisms.

Indexed as

AnalgesicsAnxietyColonic NeoplasmsDepressionLung NeoplasmsAdultAgedChronic DiseaseFemaleHumansMaleMiddle AgedNeoplasm StagingTime FactorsAnalgesics

Identifiers

PMID41402270
PMCPMC12764921

What OpenQuestion holds

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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.