Evidence map›Paper›PMID 35842888›Full record

ArticleAbdominal radiology (New York)2022

Preoperative determination of pathological grades of primary single HCC: development and validation of a scoring model.

Kun Zhang, Wen-Cui Li, Shuang-Shuang Xie, Li-Ying Lin, Zhi-Wei Shen, Zhao-Xiang Ye, Wen Shen

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 4 institutions in 1 country.

Kun ZhangDepartment of Radiology, Tianjin First Central Hospital, funded by Tianjin Key Medical Discipline (Specialty) Construction Project, Tianjin Institute of imaging medicine, 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Wen-Cui LiDepartment of Radiology, Liver Cancer Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
Shuang-Shuang XieDepartment of Radiology, Tianjin First Central Hospital, funded by Tianjin Key Medical Discipline (Specialty) Construction Project, Tianjin Institute of imaging medicine, 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Li-Ying LinFirst Central Clinical College, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Zhi-Wei ShenPhilips Healthcare, Beijing, The world profit centre, No. 16 Tianze Road, Chaoyang Dustrict, Beijing, 100125, China.
Zhao-Xiang Ye *Department of Radiology, Liver Cancer Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China. yezhaoxiang@163.com.
Wen Shen *Department of Radiology, Tianjin First Central Hospital, funded by Tianjin Key Medical Discipline (Specialty) Construction Project, Tianjin Institute of imaging medicine, 24 Fukang Road, Nankai District, Tianjin, 300192, China. shen_hos@163.com.
Tianjin First Center Hospital · CNTianjin Medical University Cancer Institute and Hospital · CNPhilips (China) · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to establish a reliable diagnostic score model for the preoperative determination of pathological grade in HCC based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI and biochemical indicators.

methodsIn this retrospective study, we analyzed 139 patients with HCC who underwent Gd-EOB-DTPA MRI between 2014 and 2020, including an establishment cohort of 76 patients and a validation cohort of 63 patients. Based on the imaging features demonstrated on Gd-EOB-DTPA MRI images and biochemical indicators of the establishment cohort, a scoring model based on logistic regression was developed, and compared with postoperative pathological findings in terms of effective determination of pathological grade. The validity of the scoring model was assessed by ROC curves and an independent external validation cohort.

resultsThree parameters related to pathological grades were identified, including maximum diameter of the tumor, peritumoral hypointensity in the hepatobiliary phase, and [alkaline phosphatase (U/L) + gamma glutamyl transpeptidase (U/L)]/ lymphocyte count (× 10

conclusionThe study provided the groundwork for a promising and easily implementable scoring model for preoperative determination of HCC pathological grades, for which further validation should be pursued.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingRetrospective StudiesContrast MediaGadolinium DTPABiomarkersHepatocellular carcinomaMagnetic resonance imagingPathological gradeStatistical model

Identifiers

PMID35842888
OpenAlexW4285676561

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.