Evidence map›Paper›PMID 38164282›Full record

ReviewJournal of Cancer2024

Periprostatic Adipose Tissue: A New Perspective for Diagnosing and Treating Prostate Cancer.

Hongliang Cao, Yishu Wang, Difei Zhang, Bin Liu, Honglan Zhou, Song Wang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

6 authors at 1 institution in 1 country.

Hongliang CaoDepartment of Urology II, The First Hospital of Jilin University, Changchun 130021, China.
Yishu WangKey Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China.
Difei ZhangKey Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China.
Bin LiuDepartment of Urology II, The First Hospital of Jilin University, Changchun 130021, China.
Honglan ZhouDepartment of Urology II, The First Hospital of Jilin University, Changchun 130021, China.
Song WangDepartment of Urology II, The First Hospital of Jilin University, Changchun 130021, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most common tumor of the male genitourinary system. It will eventually progress to fatal metastatic castration-resistant prostate cancer, for which treatment options are limited. Adipose tissues are distributed in various parts of the body. They have different morphological structures and functional characteristics and are associated with the development of various tumors. Periprostatic adipose tissue (PPAT) is the closest white visceral adipose tissue to the prostate and is part of the PCa tumor microenvironment. Studies have shown that PPAT is involved in PCa development, progression, invasion, and metastasis through the secretion of multiple active molecules. Factors such as obesity, diet, exercise, and organochlorine pesticides can affect the development of PCa indirectly or directly through PPAT. Based on the mechanism of PPAT's involvement in regulating PCa, this review summarized various diagnostic and therapeutic approaches for PCa with potential applications to assess the progression of patients' disease and improve clinical outcomes.

Indexed as

and treatmentdiagnosisinflammationlipidsperiprostatic adipose tissueprostate cancer

Identifiers

PMID38164282
PMCPMC10751678
OpenAlexW4389340625

What OpenQuestion holds

Textmetadata
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.