Evidence map›Paper›PMID 32359345›Full record

ArticleLipids in health and disease2020

Is there a non-linear relationship between dietary protein intake and prostate-specific antigen: proof from the national health and nutrition examination survey (2003-2010).

Jukun Song, Chi Chen, Song He, Weiming Chen, Jiaming Su, Dongbo Yuan, Fa Sun, Jianguo Zhu

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 11 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

8 authors at 4 institutions in 1 country.

Jukun SongDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guiyang, 550001, Guizhou, China.
Chi ChenDepartment of Immunology and Microbiology, Guiyang College of Traditional Chinese Medicine, Guiyang, 550001, Guizhou, China.
Song HeMedical College of Guizhou University, Guiyang, 550001, Guizhou, China.
Weiming ChenDepartment of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China.
Jiaming SuDepartment of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China.
Dongbo YuanDepartment of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China.
Fa SunDepartment of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China. 978975236@qq.com.
Jianguo ZhuDepartment of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China. doctorzhujianguo@163.com.
Guizhou Provincial People's Hospital · CNGuizhou University · CNGuiyang College of Traditional Chinese Medicine · CNGuiyang Medical University · CN

Funding

the Science and Technology Plan Project of Guiyang in 2019 [2019]2-15
6 · The paper itself

Abstract

backgroundGrowing evidence demonstrated that dietary protein intake may be a risk factor for prostate cancer and elevate the level of prostate-specific antigen (PSA). However, proof for the correlation between dietary protein intake and PSA in American adults without prostate tumor history is limited. Our goal was to investigate the association of dietary protein intake with PSA using the National Health and Nutrition Examination Survey (NHANES) (2003-2010) database.

methodsAfter the screening, 6403 participants were included in the study. The interested independent is the dietary protein intake, and the dependent variable is PSA levels, the covariates included demographic, dietary, biological data, and physical examination variables. A weighted linear model and a weighted linear regression model were used to examine the distribution of variables in the covariate differences between the different independent groups according to quartiles. Four models were used to survey the association between dietary protein intake and PSA. We also attempted to find a nonlinear relationship between dietary protein intake and PSA using the GAM model and the penalty spline method and further solved the nonlinear problem using weighted two-piecewise linear model.

resultsThe weighted multivariate linear regression analysis demonstrated that dietary protein intake was not independently associated with PSA levels after adjusting potential confounders (β = 0.015, 95%CI:-0.024, 0.055). However, we found the non-linear relationship between dietary protein intake and PSA, whose point was 18.18 g (per 10 g change). The magnitude and confidence intervals for the left and right inflection points are - 0.03 (- 0.09, 0.02) and 0.22 (0.07, 0.36), respectively. On the right side of the inflection point, one gram of increment in protein intake was associated with increased PSA levels by 0.22 (log2 transformation: 0.22, 95%CI: 0.07, 0.36).

conclusionsAfter adjusting for potential covariates, the non-linear correlation between dietary protein intake and PSA was observed. When dietary protein intake exceeded the threshold of 181.8 g, dietary protein intake was positively correlated with elevated PSA levels.

Indexed as

AdultAgedBiomarkersDietary ProteinsHumansKallikreinsMaleMiddle AgedMultivariate AnalysisNutritional StatusNutrition SurveysProstateProstate-Specific AntigenProstatic NeoplasmsRisk FactorsUnited StatesBiomarkersDietary ProteinsKallikreinsKLK3 protein, humanProstate-Specific AntigenDietary protein intakeNHANES databaseProstate-specific antigen (PSA)

Identifiers

PMID32359345
PMCPMC7195731
OpenAlexW3023004076

What OpenQuestion holds

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LicenceCC BY
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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.