Evidence map›Paper›PMID 28749619›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Healthy Plant Foods Intake Could Protect Against Prostate Cancer Risk: A Case-Control Study

Yahya Jalilpiran, Erfan Hezaveh, Salmeh Bahmanpour, Shiva Faghih

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yahya JalilpiranStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran. Email: sh_faghih@sums.ac.ir
Erfan Hezaveh
Salmeh Bahmanpour
Shiva Faghih
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several studies have investigated the association between healthy plant foods intake and prostate cancer risk with inconsistent results. So this study was conducted to examine the existence of any possible association between healthy plant foods and prostate cancer risk. Materials and Methods: Sixty newly diagnosed prostate cancer cases and 60 controls engaged in a hospital-based case-control study. A validated 16o-items semi-quantitative FFQ was used to assess usual dietary intakes. Energy-adjusted amounts of healthy plant foods intake were calculated using the residual method. Logistic regression model was also used to derive beta estimates and odds ratios. Results: Cases were older and more likely to be inactive. In crude model, individuals in the highest tertile vs lowest tertile of total healthy plant foods (OR= 0.12; 95 % CI 0.04, 0.34), total fruits (OR= 0.11; 95 % CI 0.04, 0.30), total vegetables (OR= 0.08; 95 % CI 0.03, 0.24), fresh fruits (OR= 0.11; 95 % CI 0.04, 0.30), and raw vegetables (OR= 0.06; 95 % CI 0.02, 0.18) had significantly lower risk of prostate cancer. After controlling for potential confounders (age, BMI, total energy intake, job, education, smoking, physical activity, some drug usage, and also dietary intakes), just total healthy plant foods (OR= 0.12; 95 % CI 0.02, 0.55), total vegetables (OR=0.03; 95 % CI 0.00, 0.25), and raw vegetables (OR= 0.01; 95 % CI 0.00, 0.12) were associated with lower prostate cancer risk. Conclusions: The results of this study suggest that a diet rich in healthy plant foods and especially total or raw vegetable may protect against prostate cancer.

Indexed as

case-control studyHealthy plant foodsprostate cancer

Identifiers

PMID28749619
PMCPMC5648397
OpenAlexW2738285440

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.