Evidence map›Paper›PMID 35584834›Full record

ArticleClinical medicine (London, England)2022

Piloting a novel cancer care pathway: socioeconomic background as a barrier to access.

Ivan Tr Jobling, Claire Waddington, Daniel Lee, S Michael Crawford

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Doing what's necessary becomes doing what is possible.Clinical medicine (London, England) · 2022
    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

4 authors at 2 institutions in 1 country.

Ivan Tr JoblingChelsea and Westminster Hospital, London, UK ivan.jobling@nhs.net.
Claire WaddingtonAiredale General Hospital, Keighley, UK.
Daniel LeeAiredale General Hospital, Leeds UK.
S Michael CrawfordAiredale General Hospital, Keighley, UK.
Airedale General Hospital · GBChelsea and Westminster Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe multidisciplinary diagnostic clinic (MDC) model for 'non-specific' symptoms has been piloted in the UK. We aimed to assess the degree to which the MDC pathway was influenced by socioeconomic factors.

methodsWe collected data for all patients referred to the MDC from 01 January 2017 - 28 March 2019. Indices of multiple deprivation (IMD) scores were matched to patients' postcodes and referring general practitioner (GP) location. Socioeconomic data for MDC patients was compared with all other cancer patients diagnosed in the MDC's base hospital, Airedale General Hospital (AGH), in 2018. Statistical significance was tested using the Mann-Whitney

resultsNo significant difference was found between MDC pathway and the rest of AGH when comparing social deprivation of patients.There was a moderate negative correlation between the IMD associated with the location of GP premises and the number of referrals; practices in more deprived locations referred fewer patients (p≤0.025).

conclusionThe MDC pathway referral rate seems to be affected by social deprivation in a similar manner to other cancer diagnosis pathways. Our work highlights the importance of engaging GP practices with socially deprived populations as the MDC programme is rolled out across the UK.

Indexed as

Critical PathwaysNeoplasmsHumansReferral and ConsultationSocioeconomic Factorsaccess to carecancerhealth disparitiessocioeconomic

Identifiers

PMID35584834
PMCPMC9135092
OpenAlexW4280549924

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.