Evidence map›Paper›PMID 32203237›Full record

ArticleEuropean journal of clinical nutrition2020

Dietary inflammatory index and bladder cancer risk: a prospective study.

Jindan Luo, Nitin Shivappa, James R Hébert, Xin Xu

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In one paragraph

Article in European journal of clinical nutrition, 2020. 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
1.1field-weighted citation impact, top 21% 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, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mutational Landscape and Environmental Effects in Bladder Cancer.International journal of molecular sciences · 2020
    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 3 institutions in 2 countries.

Jindan LuoDepartment of Urology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Nitin ShivappaCancer Prevention and Control Program, University of South Carolina, Columbia, SC, 29208, USA.
James R HébertCancer Prevention and Control Program, University of South Carolina, Columbia, SC, 29208, USA.
Xin XuDepartment of Urology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China. drxuxin@zju.edu.cn.ORCID http://orcid.org/0000-0002-5918-863X
University of South Carolina · USFirst Affiliated Hospital Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary factors may play a role in bladder cancer etiology through modulation of inflammation. The purpose of this study was to examine the relationship between the inflammatory potential of diet, as estimated by the Dietary Inflammatory Index (DII

methodsEnergy-adjusted DII (E-DII

resultsOver a median of 12.5 years of follow-up, 776 bladder cancer cases were diagnosed. E-DII scores were not associated with bladder cancer risk in the multivariable models. The HRs (95% CIs) in the highest compared with the lowest E-DII quintile were 0.90 (0.70-1.17) and 1.22 (0.72-2.06) for men and women, respectively. The associations did not differ when DII score was set as a continuous variable. The HRs (95% CIs) of one-unit increment in the E-DII for bladder cancer risk were 0.99 (0.96-1.02) and 1.01 (0.94-1.10) for men and women, respectively.

conclusionsOur study does not support an association between inflammatory potential of diet, as estimated by the E-DII, and bladder cancer risk.

Indexed as

Urinary Bladder NeoplasmsDietFemaleHumansInflammationMaleProspective StudiesRisk Factors

Identifiers

PMID32203237
OpenAlexW3012359706

What OpenQuestion holds

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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.