Evidence map›Paper›PMID 24504371›Full record

ArticleBritish journal of cancer2014

Residential distance at birth from overhead high-voltage powerlines: childhood cancer risk in Britain 1962-2008.

K J Bunch, T J Keegan, J Swanson, T J Vincent, M F G Murphy

Abstract read
In one paragraph

Article in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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  12. Children's Personal Exposure Measurements to Extremely Low Frequency Magnetic Fields in Italy.International journal of environmental research and public health · 2016
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

K J BunchChildhood Cancer Research Group, University of Oxford, New Richards Building, Old Road Campus, Headington, Oxford OX3 7LG, UK.
T J KeeganLancaster Medical School, Lancaster University, Furness Building, Lancaster LA1 4YA, UK.
J SwansonNational Grid, 1-3 Strand, London WC2N 5EH, UK.
T J VincentChildhood Cancer Research Group, University of Oxford, New Richards Building, Old Road Campus, Headington, Oxford OX3 7LG, UK.
M F G MurphyChildhood Cancer Research Group, University of Oxford, New Richards Building, Old Road Campus, Headington, Oxford OX3 7LG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe extend our previous study of childhood leukaemia and proximity to high-voltage powerlines by including more recent data and cases and controls from Scotland, by considering 132-kV powerlines as well as 275 and 400 kV and by looking at greater distances from the powerlines.

methodsCase-control study using 53,515 children from the National Registry of Childhood Tumours 1962-2008, matched controls, and calculated distances of mother's address at child's birth to powerlines at 132, 275, and 400 kV in England, Wales and Scotland.

resultsOur previous finding of an excess risk for leukaemia at distances out to 600 m declines over time. Relative risk and 95% confidence interval for leukaemia, 0-199 m compared with>1000 m, all voltages: 1960s 4.50 (0.97-20.83), 2000s 0.71 (0.49-1.03), aggregate over whole period 1.12 (0.90-1.38). Increased risk, albeit less strong, may also be present for 132-kV lines. Increased risk does not extend beyond 600 m for lines of any voltage.

conclusionsA risk declining over time is unlikely to arise from any physical effect of the powerlines and is more likely to be the result of changing population characteristics among those living near powerlines.

Indexed as

Electromagnetic FieldsAdolescentCase-Control StudiesChildEnvironmental ExposureFemaleHumansLeukemiaNeoplasmsRiskUnited Kingdom

Identifiers

PMID24504371
PMCPMC3950865

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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.