Evidence map›Paper›PMID 17895891›Full record

ArticleBritish journal of cancer2007

Hodgkin's lymphoma and infection: findings from a UK case-control study.

R Newton, S Crouch, P Ansell, J Simpson, E V Willett, A Smith, C Burton, A Jack, E Roman

Open access · hybridAbstract readComparative Study
In one paragraph

Article in British journal of cancer, 2007. 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
1.4field-weighted citation impact, top 19% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. To match or not to match in epidemiological studies--same outcome but less power.International journal of environmental research and public health · 2010
    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

9 authors at 2 institutions in 1 country.

R NewtonDepartment of Health Sciences, Epidemiology and Genetics Unit, University of York, Area 3 Seebohm Rowntree Building, Heslington, York YO10 5DD, UK. Rob.Newton@egu.york.ac.uk
S Crouch
P Ansell
J Simpson
E V Willett
A Smith
C Burton
A Jack
E Roman
University of York · GBLeeds General Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Between 1998 and 2003, 214 people with Hodgkin's lymphoma and 214 controls randomly selected from population registers in the north of England (after matching for age and sex) were recruited and their primary care medical records examined for details of clinical diagnoses due to infectious and non-infectious conditions in the preceding 15 years. In the year before diagnosis of Hodgkin's lymphoma, almost all cases (99%) visited their general practitioner (GP) at least once. In comparison with controls, the excess was evident both for visits with an infection (odd's ratio (OR)=2.1; 95% confidence interval (CI) 1.4-3.2) and for visits with non-infectious problems (OR=17.2; 95% CI 6.7-43.9). During the rest of the 15-year period prior to diagnosis, the proportion of people visiting their GP with a non-infectious condition did not differ between cases and controls. In contrast, compared to controls, there was an excess of cases visiting the GP with an infection, a finding that was evident for at least a decade prior to diagnosis and increased linearly with time (P=0.02). This excess was not due to a specific infection(s) and may reflect underlying immune abnormality. Alternatively, infection may cause B-cell proliferation from which a malignant clone may evolve.

Indexed as

AdolescentAdultAgedCase-Control StudiesCommunicable DiseasesEnglandFemaleHodgkin DiseaseHumansInfectionsMaleMedical RecordsMiddle AgedRisk Factors

Identifiers

PMID17895891
PMCPMC2360469
OpenAlexW2054258657

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.