Evidence map›Paper›PMID 38107543›Full record

ArticleJournal of hepatocellular carcinoma2023

Development and Validation of a Prognostic Model for Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma Based on Preoperative Serum Prealbumin.

Lin Xu, Dongxu Zhao, Pengcheng Tian, Jiaan Ding, Zhengyu Jiang, Guanyin Ni, Zhongheng Hou, Caifang Ni

Open access · goldAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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 1 institution in 1 country.

Lin Xu *Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Dongxu Zhao *Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Pengcheng Tian *Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Jiaan Ding *Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Zhengyu JiangDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Guanyin NiDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Zhongheng HouDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Caifang NiDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.ORCID 0000-0003-2693-367X
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to develop a prognostic nomogram utilizing preoperative serum prealbumin levels to predict the overall survival (OS) in patients undergoing transarterial chemoembolization (TACE) for unresectable hepatocellular carcinoma (HCC). Patients and Methods: A total of 768 individuals with unresectable HCC who underwent TACE at three medical facilities in Suzhou between January 2007 December 2018 were included. The patient cohort was assigned to a training set (n = 461) and a validation set (n = 307). Cox regression analysis identified independent prognostic factors, which were then used to construct a prognostic nomogram. Internal validation was performed in the testing group, and its effectiveness and capability were evaluated with reference to the concordance index (C-index), area under the curve (AUC), calibration curve, and decision curve analysis (DCA). Results: Independent risk factors identified through Cox regression analyses included the BCLC stage, cirrhosis, invasion, tumor number, preoperative serum PALB, performance status (PS), and tumor size. The nomogram demonstrated a C-index of 0.734 (95% confidence interval (CI): 0.710-0.758) in the training set and 0.717 (95% CI: 0.678-0.756) in the validation set, indicating strong discriminatory ability. The nomogram also demonstrated favorable discriminatory performance with AUC values of 0.873, 0.820, and 0.833 for 1-, 2-, and 3-year OS, respectively, in the training set, and 0.854, 0.765, and 0.724 in the validation set. The AUC value of the nomogram (0.843) was significantly higher than that of the four conventional staging systems. Moreover, calibration graphs confirmed a strong concordance between the predicted and observed results. Furthermore, DCA underscored the significant clinical utility of the nomogram. Additionally, the low-risk group exhibited considerably superior rates of survival compared to the high-risk group. Conclusion: The developed nomogram demonstrated excellent prognostic capability, which served as a valuable tool for personalized clinical decision-making for patients with HCC.

Indexed as

hepatocellular carcinomanomogramoverall survivalprealbuminprognosis

Identifiers

PMID38107543
PMCPMC10725684
OpenAlexW4389608741

What OpenQuestion holds

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LicenceCC BY-NC
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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.