Evidence map›Paper›PMID 25918333›Full record

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

Quantifying the risk of Hodgkin lymphoma in symptomatic primary care patients aged ≥40 years: a case-control study using electronic records.

Elizabeth A Shephard, Richard D Neal, Peter W Rose, Fiona M Walter, William T Hamilton

Abstract 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Incidence of first and subsequent fractures in multiple myeloma patients: a parallel cohort study using UK CPRD dataset.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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  3. Review
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  9. Disease-related factors affecting timely lymphoma diagnosis: a qualitative study exploring patient experiences.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Article
  10. Recognising laryngeal cancer in primary care: a large case-control study using electronic records.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Article
  11. Selection of men for investigation of possible testicular cancer in primary care: a large case-control study using electronic patient records.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Assessing risk and improving survival in lymphoma.The British journal of general practice : the journal of the Royal College of General Practitioners · 2015
    Article
  17. Quantifying the risk of non-Hodgkin lymphoma in symptomatic primary care patients aged ≥40 years: a large case-control study using electronic records.The British journal of general practice : the journal of the Royal College of General Practitioners · 2015
    Article
  18. Quantifying the risk of Hodgkin lymphoma in symptomatic primary care patients aged ≥40 years: a case-control study using electronic records.The British journal of general practice : the journal of the Royal College of General Practitioners · 2015
    Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Elizabeth A ShephardUniversity of Exeter Medical School, Exeter.
Richard D NealNorth Wales Centre for Primary Care Research, Bangor University, Wrexham.
Peter W RoseDepartment of Primary Care Health Sciences, University of Oxford, Oxford.
Fiona M WalterDepartment of Public Health and Primary Care, University of Cambridge, Cambridge.
William T HamiltonUniversity of Exeter Medical School, Exeter.

Funding

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

Abstract

backgroundIn the UK, approximately five people are diagnosed with Hodgkin lymphoma (HL) daily. One-tenth of diagnoses are in those aged >75 years.

aimTo establish a symptom profile of HL and quantify their risk in primary care patients aged ≥40 years. DESIGN AND

settingMatched case-control study using Clinical Practice Research Datalink patient records.

methodPutative clinical features of HL were identified in the year before diagnosis. Results were analysed using conditional logistic regression and positive predictive values (PPVs) calculated for the consulting population.

resultsTwo-hundred and eighty-three patients aged ≥40 years, diagnosed with HL between 2000 and 2009, and 1237 age, sex, and general practice-matched participants were studied. Six features were independently associated with HL: lymphadenopathy (OR 280, 95% confidence interval [CI] = 25 to 3100), head and neck mass not described as lymphadenopathy (OR 260, 95% CI = 21 to 3200), other mass (OR 12, 95% CI = 4.4 to 35), thrombocytosis (OR 6.0, 95% CI = 2.6 to 14), raised inflammatory markers (OR 5.2, 95% CI = 3.0 to 9.0), and low full blood count (OR 2.8, 95% CI = 1.6 to 4.8). Lymphadenopathy per se has a positive predictive value (PPV) of 5.6% for HL in patients aged ≥60 years.

conclusionConsistent with secondary care findings, lymphadenopathy is the clinical feature with the highest risk of HL in primary care and warrants urgent investigation.

Indexed as

Electronic Health RecordsQuality of Health CareAdultAgedAge FactorsFemaleHumansLymphoma, Non-HodgkinMaleMiddle AgedOdds RatioPrimary Health CareRetrospective StudiesRisk AssessmentSurvival RateUnited KingdomdiagnosisHodgkin lymphomaprimary health care

Identifiers

PMID25918333
PMCPMC4408504

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.