Evidence map›Paper›PMID 39005674›Full record

ArticleAmerican journal of cancer research2024

Heterogenous liver parenchymal enhancement in CT is a favorable prognosis of HCC after hepatic resection.

Hsuan-Hwai Lin, Yi-Jen Peng, Chao-Feng Chang, Ping-Ying Chang, Ping-Chi Peng, Wei-Chou Chang, Teng-Wei Chen, Tsai-Yuan Hsieh

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hsuan-Hwai LinDivision of Gastroenterology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Yi-Jen PengDivision of Experimental Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Chao-Feng ChangDivision of Gastroenterology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Ping-Ying ChangDivision of Hematology/Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Ping-Chi PengDivision of Gastroenterology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Wei-Chou ChangDepartment of Radiology, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Teng-Wei ChenDivision of General Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.
Tsai-Yuan HsiehDivision of Gastroenterology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to define the role of heterogeneity of liver parenchymal enhancement on computed tomography (CT) in the survival of patients with hepatocellular carcinoma (HCC) after hepatic resection. The medical records of patients with HCCs and who had undergone hepatic resection were retrospectively reviewed. The standard deviation (SD) of three different enhanced CT scan images was used to estimate the heterogeneity of liver parenchymal enhancement: SD of > 5.6, heterogenous enhancement, and SD of ≤ 5.6, homogeneous enhancement. A total of 57 patients had heterogenous enhancement, and 143 patients had homogeneous enhancement. The patients with heterogenous enhancement had longer disease-free and overall survivals than those with other enhancements (log-rank test,

Indexed as

CD8Foxp3hepatocellular carcinomaheterogeneity of enhancementprognosis

Identifiers

PMID39005674
PMCPMC11236790

What OpenQuestion holds

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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.