Evidence map›Paper›PMID 10789727›Full record

ArticleBritish journal of cancer2000

Space-time clustering patterns in childhood leukaemia support a role for infection.

J M Birch, F E Alexander, V Blair, O B Eden, G M Taylor, R J McNally

Abstract read
In one paragraph

Article in British journal of cancer, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

J M BirchCRC Paediatric & Familial Cancer Research Group, Royal Manchester Children's Hospital, Stancliffe, UK.
F E Alexander
V Blair
O B Eden
G M Taylor
R J McNally

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies of space-time clustering in childhood leukaemia have produced equivocal and inconsistent results. To address this issue we have used Manchester Children's Tumour Registry leukaemia data in space-time clustering analyses. Knox tests for space-time interactions between cases were applied with fixed thresholds of close in space, <5 km and close in time <1 year apart. Addresses at birth as well as diagnosis were utilized. Tests were repeated replacing geographical distance with distance to the Nth nearest neighbour. N was chosen such that the mean distance was 5 km. Data were also examined by a second order procedure based on K-functions. All methods showed highly significant evidence of space-time clustering based on place of birth and time of diagnosis, particularly for all leukaemias aged 0-14 and 0-4 years, and acute lymphoblastic leukaemia (ALL) 0-4 years. Some results based on location at diagnosis were significant but mainly gave larger P-values. The results are consistent with an infectious hypothesis. Furthermore, we found an excess of male cases over females involved in space-time pairs. We suggest this may be related to genetic differences in susceptibility to infection between males and females. These findings provide the basis for future studies to identify possible infectious agents.

Indexed as

AdolescentChildChild, PreschoolCluster AnalysisFemaleGenetic Predisposition to DiseaseHumansInfantInfectionsLeukemiaMaleSex FactorsUnited Kingdom

Identifiers

PMID10789727
PMCPMC2363399

What OpenQuestion holds

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LicenceCC BY
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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.