Evidence map›Paper›PMID 32522264›Full record

ArticleBMC family practice2020

Predicting GP visits: A multinomial logistic regression investigating GP visits amongst a cohort of UK patients living with Myalgic encephalomyelitis.

R Stephen Walsh, Andrew Denovan, Kenneth Drinkwater, Sean Reddington, Neil Dagnall

Abstract read
In one paragraph

Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025
    Pooled it
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

5 authors.

R Stephen WalshManchester Metropolitan University, Manchester, UK. r.walsh@mmu.ac.uk.ORCID 0000-0003-2390-0231
Andrew DenovanManchester Metropolitan University, Manchester, UK.
Kenneth DrinkwaterManchester Metropolitan University, Manchester, UK.
Sean ReddingtonManchester Metropolitan University, Manchester, UK.
Neil DagnallManchester Metropolitan University, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyalgic Encephalomyelitis (ME) is a chronic condition whose status within medicine is the subject of on-going debate. Some medical professionals regard it as a contentious illness. Others report a lack of confidence with diagnosis and management of the condition. The genesis of this paper was a complaint, made by an ME patient, about their treatment by a general practitioner. In response to the complaint, Healthwatch Trafford ran a patient experience-gathering project.

methodData was collected from 476 participants (411 women and 65 men), living with ME from across the UK. Multinomial logistic regression investigated the predictive utility of length of time with ME; geographic location (i.e. Manchester vs. rest of UK); trust in GP; whether the patient had received a formal diagnosis; time taken to diagnosis; and gender. The outcome variable was number of GP visits per year.

resultsAll variables, with the exception of whether the patient had received a formal diagnosis, were significant predictors.

conclusionsRelationships between ME patients and their GPs are discussed and argued to be key to the effective delivery of care to this patient cohort. Identifying potential barriers to doctor patient interactions in the context of ME is crucial.

Indexed as

Disease ManagementFatigue Syndrome, ChronicGeneral PractitionersAmbulatory CareAttitude of Health PersonnelAttitude to HealthCommunication BarriersFemaleHumansMaleMiddle AgedPatient PreferencePhysician-Patient RelationsTrustUnited KingdomChronic fatigue syndrome (CFS)General practitioner (GP) visitsMyalgic Myalgic encephalomyelitis (ME)

Identifiers

PMID32522264
PMCPMC7285543

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.