Evidence map›Paper›PMID 29208999›Full record

ArticleScientific reports2017

Associations between childhood body size and seventeen adverse outcomes: analysis of 65,057 European women.

Jingmei Li, Mikael Eriksson, Wei He, Per Hall, Kamila Czene

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
0.5field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
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

5 authors at 2 institutions in 2 countries.

Jingmei LiGenome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore, 138672, Singapore. lijm1@gis.a-star.edu.sg.ORCID 0000-0001-8587-7511
Mikael ErikssonKarolinska Institutet, Department of Medical Epidemiology and Biostatistics, Box 281, 171 77, Stockholm, Sweden.
Wei HeKarolinska Institutet, Department of Medical Epidemiology and Biostatistics, Box 281, 171 77, Stockholm, Sweden.
Per HallKarolinska Institutet, Department of Medical Epidemiology and Biostatistics, Box 281, 171 77, Stockholm, Sweden.
Kamila CzeneKarolinska Institutet, Department of Medical Epidemiology and Biostatistics, Box 281, 171 77, Stockholm, Sweden.
Karolinska Institutet · SENational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large childhood body size has been consistently shown to be associated with decreased breast cancer risk. However, it is important to consider the effects of a large childhood body size on other adult diseases. It is not clear if the associations between childhood body size and adult diseases will persist if they later attain healthy weight. The associations between body size at age 7 and 17 adverse outcomes in adulthood were examined using Cox models in a Swedish study of 65,057 women. Large body size at age 7, when compared to small body size, was associated with decreased risk for breast cancer (HR [95% CI]: 0.81 [0.70-0.93]) and increased risks for anorexia (2.13 [1.63-2.77]) and bulimia (1.91 [1.35-2.70]). Neither adjusting for adult BMI nor restricting the dataset to lean adults (BMI < 25 kg/m

Indexed as

AdultAnorexiaBody Mass IndexBody SizeBreast NeoplasmsChildDiseaseFemaleHumansHypertensionMiddle AgedNeoplasmsProportional Hazards ModelsRisk FactorsSweden

Identifiers

PMID29208999
PMCPMC5717076
OpenAlexW2769583357

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.