Evidence map›Paper›PMID 38303541›Full record

ArticleThe British journal of radiology2024

Prognostic nomogram model for selecting between transarterial chemoembolization plus lenvatinib, with and without PD-1 inhibitor in unresectable hepatocellular carcinoma.

Ye Sheng, Qing Wang, HaiFeng Liu, Qi Wang, WenHua Chen, Wei Xing

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 9% 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, 4 syntheses or guidelines pooled it, 8 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

6 authors at 1 institution in 1 country.

Ye ShengDepartment of Interventional Radiology, Third Affiliated Hospital of Soochow University & Changzhou First People's Hospital, Juqian street NO.185, Tianning district, Changzhou, Jiangsu, 213003, China.
Qing WangDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Juqian street NO.185, Tianning district, Changzhou, Jiangsu, 213003, China.
HaiFeng LiuDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Juqian street NO.185, Tianning district, Changzhou, Jiangsu, 213003, China.
Qi WangDepartment of Interventional Radiology, Third Affiliated Hospital of Soochow University & Changzhou First People's Hospital, Juqian street NO.185, Tianning district, Changzhou, Jiangsu, 213003, China.
WenHua ChenDepartment of Interventional Radiology, Third Affiliated Hospital of Soochow University & Changzhou First People's Hospital, Juqian street NO.185, Tianning district, Changzhou, Jiangsu, 213003, China.
Wei XingDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Juqian street NO.185, Tianning district, Changzhou, Jiangsu, 213003, China.ORCID 0000-0003-2140-2685
Soochow University · CN

Funding

Interventional Medicine Scientific Research Special Fund Project of Jiangsu Medical Association 2023042Youth Project Fund of Changzhou City Health Commission QN202111
6 · The paper itself

Abstract

objectivesTo establish and verify a prognostic nomogram model for selecting in unresectable hepatocellular carcinoma (uHCC) treated by transarterial chemoembolization plus lenvatinib (TACE-L) with or without PD-1 inhibitor.

methodsData of 241 uHCC patients who underwent TACE-L (n = 128) and TACE-L plus PD-1 inhibitor (TACE-L-P, n = 113) were retrospectively reviewed. The differences in tumour responses, progression-free survival (PFS), overall survival (OS), and adverse events (AEs) between two groups were compared, and a prognostic nomogram model was established based on independent clinical-radiologic factors and confirmed by Cox regression analysis for predicting PFS and OS. The treatment selection for uHCC patients was stratified by the nomogram score.

resultsCompared to TACE-L, TACE-L-P presented prolonged PFS (14.0 vs. 9.0 months, P < .001), longer OS (24.0 vs. 15.0 months, P < .001), and a better overall objective response rate (54.0% vs. 32.8%, P = .001). There was no significant difference between the rate of AEs in the TACE-L-P and the TACE-L (56.64% vs. 46.09%, P = .102) and the rate of grade ≥ 3 AEs (11.50% vs. 9.38%, P = .588), respectively. The nomogram model presented good discrimination, with a C-index of 0.790 for predicting PFS and 0.749 for predicting OS. Patients who underwent TACE-L and obtained a nomogram score >9 demonstrated improved 2-year PFS when transferred to TACE-L-P, and those with a nomogram ≤25 had better 2-year OS when transferred to TACE-L-P.

conclusionsTACE-L-P showed significant improvements in efficiency and safety for uHCC patients compared with TACE-L. The nomogram was useful for stratifying treatment decisions and selecting a suitable population for uHCC patients. ADVANCES IN KNOWLEDGE: Prognostic nomogram model is of great value in predicting individualized survival benefits for uHCC patients after TACE-L or/and TACE-L-P. And the nomogram was helpful for selection between TACE-L-P and TACE-L among uHCC patients.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsPhenylurea CompoundsQuinolinesHumansImmune Checkpoint InhibitorsNomogramsPrognosisRetrospective StudiesImmune Checkpoint InhibitorslenvatinibPhenylurea CompoundsQuinolineshepatocellular carcinomalenvatinibnomogram modelPD-1 inhibitortransarterial chemoembolization (TACE)

Identifiers

PMID38303541
PMCPMC11027259
OpenAlexW4391483253

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.