Evidence map›Paper›PMID 23442818›Full record

ArticleBMC cancer2013

Sugary food and beverage consumption and epithelial ovarian cancer risk: a population-based case-control study.

Melony G King, Sara H Olson, Lisa Paddock, Urmila Chandran, Kitaw Demissie, Shou-En Lu, Niyati Parekh, Lorna Rodriguez-Rodriguez, Elisa V Bandera

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Article
  6. Diet and Risk of Myeloproliferative Neoplasms in Older Individuals from the NIH-AARP Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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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

9 authors at 5 institutions in 1 country.

Melony G KingThe Cancer Institute of New Jersey, Robert Wood Johnson Medical School, 195 Little Albany St. New Brunswick, NJ 08903, USA.
Sara H Olson
Lisa Paddock
Urmila Chandran
Kitaw Demissie
Shou-En Lu
Niyati Parekh
Lorna Rodriguez-Rodriguez
Elisa V Bandera
Rutgers Cancer Institute of New JerseyMemorial Sloan Kettering Cancer Center · USNew Jersey Department of Health · USNew York University · USRutgers, The State University of New Jersey · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
NPCR-ENHANCEMENT OF EXISTING CANCER REGISTRY NBCCEDP-PROVIDE BREAST $ CERVICAL CAU58DP000808 · DP · NEW JERSEY STATE DEPT/HEALTH/SENIOR SRVS · PI RODRIGUEZ, GLORIA · 2007 to 2011
$21.1M
ESTROGEN, DIET, GENETICS AND ENDOMETRIAL CANCERR01CA083918 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI OLSON, SARA H · 2001 to 2005
$2.5M
Phytoestrogens, alcohol, and endometrial cancer riskK07CA095666 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BANDERA, ELISA V · 2003 to 2007
$672k
Obesity in ovarian cancer prognosisK22CA138563 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BANDERA, ELISA V · 2010 to 2012
$605k
NCCDPHP CDC HHS 5U58DP000808-05NCI NIH HHS K07 CA095666NCI NIH HHS K22CA138563NCI NIH HHS N01-PC-54405NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA072720NCI NIH HHS P30CA072720NCI NIH HHS R01 CA083918NCI NIH HHS R01CA83918
6 · The paper itself

Abstract

backgroundOvarian cancer is the deadliest gynecologic cancer in the US. The consumption of refined sugars has increased dramatically over the past few decades, accounting for almost 15% of total energy intake. Yet, there is limited evidence on how sugar consumption affects ovarian cancer risk.

methodsWe evaluated ovarian cancer risk in relation to sugary foods and beverages, and total and added sugar intakes in a population-based case-control study. Cases were women with newly diagnosed epithelial ovarian cancer, older than 21 years, able to speak English or Spanish, and residents of six counties in New Jersey. Controls met same criteria as cases, but were ineligible if they had both ovaries removed. A total of 205 cases and 390 controls completed a phone interview, food frequency questionnaire, and self-recorded waist and hip measurements. Based on dietary data, we computed the number of servings of dessert foods, non-dessert foods, sugary drinks and total sugary foods and drinks for each participant. Total and added sugar intakes (grams/day) were also calculated. Multiple logistic regression models were used to estimate odds ratios and 95% confidence intervals for food and drink groups and total and added sugar intakes, while adjusting for major risk factors.

resultsWe did not find evidence of an association between consumption of sugary foods and beverages and risk, although there was a suggestion of increased risk associated with sugary drink intake (servings per 1,000 kcal; OR=1.63, 95% CI: 0.94-2.83).

conclusionsOverall, we found little indication that sugar intake played a major role on ovarian cancer development.

Indexed as

AdultAgedAnalysis of VarianceBeveragesCarcinoma, Ovarian EpithelialCase-Control StudiesDietary SucroseDiet RecordsFemaleHumansMiddle AgedMultivariate AnalysisNeoplasms, Glandular and EpithelialNew JerseyOvarian NeoplasmsRisk FactorsDietary Sucrose

Identifiers

PMID23442818
PMCPMC3598848
OpenAlexW2064358481

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.