Evidence map›Paper›PMID 36097770›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2022

Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T

Xiang Liu, Yaofeng Zhang, Zhaonan Sun, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang

Open access · greenAbstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. [CT radiomicsZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  4. Article
  5. Article
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 2 institutions in 1 country.

Xiang LiuDepartment of Medical Imaging, Peking University First Hospital, Beijing 100034. lx_mango@163.com.
Yaofeng ZhangBeijing Smart Tree Medical Technology Company Limited, Beijing 100011, China.
Zhaonan SunDepartment of Medical Imaging, Peking University First Hospital, Beijing 100034.
Xiangpeng WangBeijing Smart Tree Medical Technology Company Limited, Beijing 100011, China.
Xiaodong ZhangDepartment of Medical Imaging, Peking University First Hospital, Beijing 100034.
Xiaoying WangDepartment of Medical Imaging, Peking University First Hospital, Beijing 100034. cjr.wangxiaoying@vip.163.com.
Peking University · CNBOE Technology Group (China) · CN

Funding

the Capital's Funds for Health Improvement and Research 2020-2-40710
6 · The paper itself

Abstract

objectivesPelvic lymph node metastasis (PLNM) is an important factor that affects the stage and prognosis of prostate cancer. Invasive extended pelvic lymph node dissection (ePLND) is the most effective method for clinically diagnosing PLNM. Accurate preoperative prediction of PLNM can reduce unnecessary ePLND. This study aims to investigate the clinical value of radiomics nomogram in predicting PLNM of prostate cancer based on T

methodsMagnetic resonance (MR) data of 71 patients with prostate cancer who underwent ePLND from January 2017 to June 2021 in Peking University First Hospital were collected retrospectively. All patients were assigned into a training set (January 2017 to December 2020,

resultsNo significant differences were found between the training set and test set regarding age, Gleason scores, PSA level, and clinical and pathological T stage (all

conclusionsThe radiomics nomogram based on T

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsHumansLymphatic MetastasisLymph NodesMaleRetrospective StudiesProstate-Specific Antigenlymph node metastasismagnetic resonance imagingnomogramprostate cancerradiomics

Identifiers

PMID36097770
PMCPMC10950107
OpenAlexW4295519448

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.