Evidence map›Paper›PMID 32474764›Full record

ArticleJournal of endocrinological investigation2021

Peri-prostatic adipose tissue measurements using MRI predict prostate cancer aggressiveness in men undergoing radical prostatectomy.

T -S Zhai, L -T Hu, W -G Ma, X Chen, M Luo, L Jin, Z Zhou, X Liu, Y Kang, Y -X Kang and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

15 authors at 5 institutions in 1 country.

T -S ZhaiDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.ORCID http://orcid.org/0000-0002-1441-6256
L -T HuDepartment of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China.
W -G MaDepartment of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China.
X ChenDepartment of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China.
M LuoDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
L JinDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
Z ZhouDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
X LiuDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
Y KangThe First Affiliated Hospital of Henan University of Science and Technology, Luoyang, 471000, Henan, China.
Y -X KangThe First Affiliated Hospital of Henan University of Science and Technology, Luoyang, 471000, Henan, China.
J -X ZhangDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
H LiuDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
J -Y LuDepartment of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China. 344307311@qq.com.
X -D YaoDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China. yaoxudong67@sina.com.
L YeDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China. ericyelin@163.com.
Tongji University · CNKaramay Central Hospital · CNFirst Affiliated Hospital of Henan University of Science and Technology · CNShanghai Tenth People's Hospital · CNTaixing People's Hospital · CN

Funding

Health System Independent Innovation Science Foundation of Shanghai Putuo District ptkwws201819Karamay Municipal Science and Technology Foundation JK2017-5National Natural Science Foundation of China 81672549National Natural Science Foundation of China 81972409Natural Science Foundation of Shanghai 15ZR1433000Natural Science Foundation of Shanghai 17ZR1421800Youth Subject of Karamay Central Hospital QK2017-5
6 · The paper itself

Abstract

objectivesTo evaluate the effect of peri-prostatic adipose tissue (PPAT) measurements using preoperative MRI on the prediction of prostate cancer (PCa) aggressiveness in men undergoing radical prostatectomy (RP).

methodsWe performed a retrospective study on 179 consecutive patients receiving RP from June 2016 to October 2018. Clinical characteristics were collected. PPAT measurements including peri-prostatic fat area (PPFA) and peri-prostatic fat area to prostate area (PA) ratio (PPFA/PA) were calculated by MRI. Multivariable logistic regression analysis was performed to identify independent predictors of PCa lymph node metastasis (LNM). The predictive performance was estimated through ROC curves. Nomograms were created based on the predictors.

resultsPathologic Gleason score positively correlated with digital rectal examination (DRE), PSA, PPFA/PA, P504S, and Ki-67 (all P < 0.05). ROC curves revealed that high PPFA and high PPFA/PA were associated with LNM (both P < 0.05). Multivariate analysis revealed that high PPFA/PA, pathologic Gleason score, pT stage, and Ki-67 were independently predictive of LNM. The nomograms were created and the C-index was 0.945.

conclusionsPPFA/PA is an independent predictor for LNM along with Gleason score, pT stage, and Ki-67. PPFA/PA may help predict LNM in men undergoing RP, thus providing adjunctive information for therapeutic strategy and prognosis.

Indexed as

Adipose TissueAgedAged, 80 and overDisease ProgressionFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisProstatectomyProstatic NeoplasmsRetrospective StudiesMagnetic resonance imagingPeri-prostatic adipose tissueProstate cancerRadical prostatectomy

Identifiers

PMID32474764
OpenAlexW3029547053

What OpenQuestion holds

Textmetadata
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.