Evidence map›Paper›PMID 31652816›Full record

ArticleNutrients2019

Post-Diagnostic Diet Quality and Mortality in Females with Self-Reported History of Breast or Gynecological Cancers: Results from the Third National Health and Nutrition Examination Survey (NHANES III).

Nena Karavasiloglou, Giulia Pestoni, David Faeh, Sabine Rohrmann

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 13 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

30 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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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

4 authors.

Nena KaravasiloglouDivision of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention (EBPI), University of Zurich, Hirschengraben 84, CH-8001 Zurich, Switzerland. nena.karavasiloglou@uzh.ch.
Giulia PestoniDivision of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention (EBPI), University of Zurich, Hirschengraben 84, CH-8001 Zurich, Switzerland. giulia.pestoni@uzh.ch.
David FaehDivision of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention (EBPI), University of Zurich, Hirschengraben 84, CH-8001 Zurich, Switzerland. info@davidfaeh.ch.
Sabine RohrmannDivision of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention (EBPI), University of Zurich, Hirschengraben 84, CH-8001 Zurich, Switzerland. sabine.rohrmann@uzh.ch.

Funding

Krebsforschung Schweiz KFS-4114-02-2017
6 · The paper itself

Abstract

High quality diets are associated with favorable disease and mortality outcomes in various populations; little and conflicting information is available for female cancer survivors. We investigated the association of post-diagnostic diet quality with mortality in female cancer survivors. Data from 230 women with a previous breast, or gynecological (i.e., ovarian, cervical or uterine) cancer diagnosis in the Third National Health and Nutrition Examination Survey were analyzed. The Healthy Eating Index (HEI) and the Mediterranean Diet Score (MDS) were calculated based on a 24-hour dietary recall interview. Cox proportional hazards regression models were used to calculate multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CI). Higher HEI score was associated with lower mortality (HR

Indexed as

MortalityNutrition SurveysBreast NeoplasmsCancer SurvivorsDietDiet, HealthyDiet, MediterraneanFemaleGenital Neoplasms, FemaleHumansMiddle AgedSelf Reportadultscancer survivorscohortdietary patternsmortality

Identifiers

PMID31652816
PMCPMC6893621

What OpenQuestion holds

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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.