Evidence map›Paper›PMID 27667654›Full record

ArticleInternational journal of cancer2017

Long and irregular menstrual cycles, polycystic ovary syndrome, and ovarian cancer risk in a population-based case-control study.

H R Harris, L J Titus, D W Cramer, K L Terry

Abstract read
In one paragraph

Article in International journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
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  13. Vascular Health of Females with History of Assisted Reproductive Technology.Journal of cardiovascular development and disease · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. Association between insulin resistance and abnormal menstrual cycle in Saudi females with polycystic ovary syndrome.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

H R HarrisProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109.
L J TitusDepartment of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Norris Cotton Cancer Center, NH, 03755, Lebanon.
D W CramerObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115.
K L TerryObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115.
Brigham and Women's Hospital · USDartmouth College · US

Funding

Novel Serum, Plasma, and Urine Biomarkers of Ovarian CanP50CA105009 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2004 to 2010
$13.3M
OVARIAN CANCER RISK AND HYPERGONADOTROPIC HYPOGONADISMR01CA054419 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 1992 to 2007
$5.9M
PCOS, Type II diabetes and ovarian cancer riskK22CA193860 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HARRIS, HOLLY RUTH · 2016 to 2018
$554k
NCI NIH HHS K22 CA193860NCI NIH HHS P50 CA105009NCI NIH HHS R01 CA054419
6 · The paper itself

Abstract

Long and irregular menstrual cycles, a hallmark of polycystic ovary syndrome (PCOS), have been associated with higher androgen and lower sex hormone binding globulin levels and this altered hormonal environment may increase the risk of specific histologic subtypes of ovarian cancer. We investigated whether menstrual cycle characteristics and self-reported PCOS were associated with ovarian cancer risk among 2,041 women with epithelial ovarian cancer and 2,100 controls in the New England Case-Control Study (1992-2008). Menstrual cycle irregularity, menstrual cycle length, and PCOS were collected through in-person interview. Unconditional logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (95% CIs) for ovarian cancer risk overall, and polytomous logistic regression to evaluate whether risk differed between histologic subtypes. Overall, we observed no elevation in ovarian cancer risk for women who reported periods that were never regular or for those reporting a menstrual cycle length of >35 days with ORs of 0.87 (95% CI = 0.69-1.10) and 0.83 (95% CI = 0.44-1.54), respectively. We observed no overall association between self-reported PCOS and ovarian cancer (OR = 0.97; 95% CI = 0.61-1.56). However, we observed significant differences in the association with menstrual cycle irregularity and risk of ovarian cancer subtypes (p

Indexed as

AndrogensCarcinoma, Ovarian EpithelialCase-Control StudiesFemaleHumansLogistic ModelsMenstrual CycleMiddle AgedNeoplasms, Glandular and EpithelialNew EnglandOvarian NeoplasmsPolycystic Ovary SyndromeRiskAndrogensmenstrual cycle characteristicsovarian cancerPCOS

Identifiers

PMID27667654
PMCPMC5542050
OpenAlexW2528230951

What OpenQuestion holds

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LicenceTDM
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.