Evidence map›Paper›PMID 25083708›Full record

ArticlePloS one2014

Breast tumor laterality in the United States depends upon the country of birth, but not race.

Trevor Sughrue, James P Brody

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 47% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Trevor SughrueDepartment of Biomedical Engineering, University of California Irvine, Irvine, California, United States of America.
James P BrodyDepartment of Biomedical Engineering, University of California Irvine, Irvine, California, United States of America.
University of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More breast cancers are diagnosed in the left breast than the right. The ratio (l/r) is called the laterality ratio. We analyzed 1.2 million cases of breast cancer diagnosed in the US between 1973 and 2010 and recorded by the Surveillance, Epidemiology, and End Results (SEER) program. We found that the laterality ratio depends upon the country of birth, but not race of the patient. We identified five countries of birth that had p-values larger than 0.995, while we expected to see less than 1. Those born in Japan (l/r = 1.14, p = 0.997), the Ryukyu Islands (l/r = 2.6, p = 0.998), Laos (l/r = 1.62, p = 0.9999) and Algeria (l/r = 2.1 p = 0.9959) had significantly larger laterality ratios compared to the overall SEER population (l/r = 1.04). Those born in Poland (l/r = 0.92, p = 0.997) had a laterality ratio significantly less than expected. We compared the laterality ratio calculated for tumors occurring in each quadrant of the breast for two immigrant populations: those born in Japan and those born in Poland. We found the only significant difference was in the laterality ratio of the upper outer quadrant. Thus, the birthplace effect appears to only occur in the upper outer quadrant of the breast. Finally, we found a small, but statistically significant, increase in the breast cancer laterality ratio with age, and decrease with birth year and year of diagnosis.

Indexed as

Breast NeoplasmsFemaleHumansPopulation SurveillanceRacial GroupsResidence CharacteristicsSEER ProgramUnited States

Identifiers

PMID25083708
PMCPMC4118871
OpenAlexW2028325046

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.