Evidence map›Paper›PMID 25624306›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2015

Quantifying the risk of multiple myeloma from symptoms reported in primary care patients: a large case-control study using electronic records.

Elizabeth A Shephard, Richard D Neal, Peter Rose, Fiona M Walter, Emma J Litt, William T Hamilton

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 6 pooled it
4.2field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 6 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  3. Understanding the role of GPs' gut feelings in diagnosing cancer in primary care: a systematic review and meta-analysis of existing evidence.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Pooled it
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  5. Weight loss as a predictor of cancer in primary care: a systematic review and meta-analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
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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 at 4 institutions in 2 countries.

Elizabeth A ShephardUniversity of Exeter Medical School, Exeter.
Richard D NealNorth Wales Centre for Primary Care Research, Bangor University, Wrexham.
Peter RoseDepartment of Primary Care Health Sciences, University of Oxford.
Fiona M WalterDepartment of Public Health and Primary Care, University of Cambridge, Cambridge.
Emma J LittGlyndwr University, Wrexham.
William T HamiltonUniversity of Exeter Medical School, Exeter.
University of Exeter · GBPrimary Health Care · QAUniversity of Cambridge · GBWrexham University · GB

Funding

Department of Health RP-PG-0608-10045
6 · The paper itself

Abstract

backgroundPatients with myeloma experience the longest diagnostic delays compared with patients with other cancers in the UK; 37% are diagnosed through emergency presentations.

aimTo identify and quantify the risk of myeloma from specific clinical features reported by primary care patients. DESIGN AND

settingMatched case-control study using General Practice Research Database primary care electronic records.

methodPutative clinical features of myeloma were identified and analysed using conditional logistic regression. Positive predictive values (PPVs) were calculated for the consulting population.

resultsA total of 2703 patients aged ≥40 years, diagnosed with myeloma between 2000 and 2009, and 12 157 age, sex, and general practice-matched controls were identified. Sixteen features were independently associated with myeloma: hypercalcaemia, odds ratio 11.4 (95% confidence interval [CI] = 7.1 to 18), cytopenia 5.4 (95% CI = 4.6 to 6.4), raised inflammatory markers 4.9 (95% CI = 4.2 to 5.8), fracture 3.1 (95% CI = 2.3 to 4.2), raised mean corpuscular volume 3.1 (95% CI = 2.4 to 4.1), weight loss 3.0 (95% CI = 2.0 to 4.5), nosebleeds 3.0 (95% CI = 1.9 to 4.7), rib pain 2.5 (95% CI = 1.5 to 4.4), back pain 2.2 (95% CI = 2.0 to 2.4), other bone pain 2.1 (95% CI = 1.4 to 3.1), raised creatinine 1.8 (95% CI = 1.5 to 2.2), chest pain 1.6 (95% CI = 1.4 to 1.8), joint pain 1.6 (95% CI = 1.2 to 2.2), nausea 1.5 (95% CI = 1.1 to 2.1), chest infection 1.4 (95% CI = 1.2 to 1.6), and shortness of breath 1.3 (95% CI = 1.1 to 1.5). Individual symptom PPVs were generally <1%, although were >10% for some symptoms when combined with leucopenia or hypercalcaemia.

conclusionIndividual symptoms of myeloma in primary care are generally low risk, probably explaining diagnostic delays. Once simple primary care blood tests are taken, risk estimates change. Hypercalcaemia and leucopenia are particularly important abnormalities, and coupled with symptoms, strongly suggest myeloma.

Indexed as

Electronic Health RecordsPrimary Health CareAdultAgedFemaleHumansMaleMiddle AgedMorbidityMultiple MyelomaOdds RatioReferral and ConsultationRetrospective StudiesRisk AssessmentRisk FactorsSurvival Rateblood testsdiagnosishypercalcaemialeucopeniamultiple myelomaprimary health care

Identifiers

PMID25624306
PMCPMC4325456
OpenAlexW2133422334

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.