Evidence map›Paper›PMID 35488242›Full record

ArticleBMC cancer2022

Routes to cancer diagnosis for patients with pre-existing psychiatric disorders: a nationwide register-based cohort study.

Line Flytkjær Virgilsen, Peter Vedsted, Alina Zalounina Falborg, Anette Fischer Pedersen, Anders Prior, Henry Jensen

Abstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Line Flytkjær VirgilsenResearch Unit for General Practice, Bartholins Alle 2, 8000, Aarhus, Denmark. line.virgilsen@ph.au.dk.
Peter VedstedResearch Unit for General Practice, Bartholins Alle 2, 8000, Aarhus, Denmark.
Alina Zalounina FalborgResearch Unit for General Practice, Bartholins Alle 2, 8000, Aarhus, Denmark.
Anette Fischer PedersenResearch Unit for General Practice, Bartholins Alle 2, 8000, Aarhus, Denmark.
Anders PriorResearch Unit for General Practice, Bartholins Alle 2, 8000, Aarhus, Denmark.
Henry JensenResearch Unit for General Practice, Bartholins Alle 2, 8000, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor cancer prognosis has been observed in patients with pre-existing psychiatric disorders. Therefore, we need better knowledge about the diagnosis of cancer in this patient group. The aim of the study was to describe the routes to cancer diagnosis in patients with pre-existing psychiatric disorders and to analyse how cancer type modified the routes.

methodsA register-based cohort study was conducted by including patients diagnosed with incident cancer in 2014-2018 (n = 155,851). Information on pre-existing psychiatric disorders was obtained from register data on hospital contacts and prescription medication. Multinomial regression models with marginal means expressed as probabilities were used to assess the association between pre-existing psychiatric disorders and routes to diagnosis.

resultsCompared to patients with no psychiatric disorders, the population with a psychiatric disorder had an 8.0% lower probability of being diagnosed through cancer patient pathways initiated in primary care and a 7.6% higher probability of being diagnosed through unplanned admissions. Patients with pre-existing psychiatric disorders diagnosed with rectal, colon, pancreatic, liver or lung cancer and patients with schizophrenia and organic disorders were less often diagnosed through cancer patient pathways initiated in primary care.

conclusionPatients with pre-existing psychiatric disorders were less likely to be diagnosed through Cancer Patient Pathways from primary care. To some extent, this was more pronounced among patients with cancer types that often present with vague or unspecific symptoms and among patients with severe psychiatric disorders. Targeting the routes by which patients with psychiatric disorders are diagnosed, may be one way to improve the prognosis among this group of patients.

Indexed as

Lung NeoplasmsMental DisordersCohort StudiesHumansPrognosisEarly detection of CancerMental disorders(MeSH): DenmarkNeoplasms

Identifiers

PMID35488242
PMCPMC9055745

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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.