Evidence map›Paper›PMID 34379248›Full record

ArticleAnnals of surgical oncology2022

Liver Stiffness Measured by Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma.

Haiyi Long, Xian Zhong, Liya Su, Tongyi Huang, Yu Duan, Weiping Ke, Xiaoyan Xie, Manxia Lin

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In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Predicting Post-hepatectomy Liver Failure Preoperatively for Child-Pugh A5 Hepatocellular Carcinoma Patients by Liver Stiffness.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Trial
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  5. Review
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  9. Observational
  10. Review
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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 2 institutions in 1 country.

Haiyi Long *Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xian Zhong *Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Liya SuDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Tongyi HuangDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yu DuanDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Weiping KeDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoyan XieDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. xiexyan@mail.sysu.edu.cn.
Manxia LinDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. linmxia@mail.sysu.edu.cn.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81901768Natural Science Foundation of Guangdong Province 2021A1515012367State Key Project on Infectious Diseases of China 2018ZX10723204
6 · The paper itself

Abstract

objectivesTo evaluate the ability of liver stiffness (LS) measured by two-dimensional shear wave elastography (2D SWE) to predict symptomatic post-hepatectomy liver failure (SPHLF) in patients with hepatocellular carcinoma (HCC).

methodsA total of 119 patients who underwent hepatectomy for HCC between August 2018 and July 2019 were enrolled. Preoperative assessments for LS and other clinicopathological tests were performed in all patients. Univariate and multivariate analyses were conducted for the risk factors of SPHLF. Further subgroup analysis was performed according to multivariate analysis results.

resultsSPHLF occurred in 38 patients (31.9%). The best cutoff value of LS for predicting SPHLF was 9.5 kPa. Multivariate analysis identified LS ≥ 9.5 kPa, greater Child-Turcotte-Pugh (CTP) grade, and major hepatectomy as independent predictors of SPHLF. Based on the extent of hepatectomy, CTP grade could stratify the risk of SPHLF in the minor hepatectomy group (12.2% vs. 100.0%, p = 0.001), whereas LS was superior in predicting SPHLF in the major hepatectomy group (18.9% vs. 72.4%, p < 0.001). In patients with CTP grade A, LS could further stratify the risks of SPHLF in both the minor and major hepatectomy groups (3.7% vs. 22.7%, p = 0.043; 17.6% vs. 70.4%, p < 0.001, respectively).

conclusionsLS measured using 2D SWE could predict SPHLF using the best cutoff value of 9.5 kPa. CTP grade was a stronger indicator of SPHLF in minor hepatectomy, whereas LS was more effective in selecting candidates for major hepatectomy. LS could further stratify the risk of SPHLF in CTP grade A patients, regardless of the extent of hepatectomy.

Indexed as

Carcinoma, HepatocellularElasticity Imaging TechniquesLiver FailureLiver NeoplasmsHepatectomyHumans

Identifiers

PMID34379248
OpenAlexW3187931151

What OpenQuestion holds

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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.