Evidence map›Paper›PMID 40181323›Full record

ArticleBMC cancer2025

Prognostic nutritional index predicts survival in intermediate and advanced hepatocellular carcinoma treated with hepatic arterial infusion chemotherapy combined with PD-(L)1 inhibitors and molecular targeted therapies.

Hao-Huan Tang, Ming-Qing Zhang, Zi-Chen Zhang, Chen Fan, Shu-Shu Li, Wei Chen, Wei-Dong Wang

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. [The value of the nutritional assessment index or score in prognostic evaluation for patients with liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. 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.

Hao-Huan Tang *Department of Interventional Radiology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, No. 299, Wuxi, 214023, China.
Ming-Qing Zhang *Department of Interventional Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Zi-Chen Zhang *Department of Interventional Vascular Medicine, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, China.
Chen FanDepartment of Interventional Radiology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, No. 299, Wuxi, 214023, China.
Shu-Shu LiDepartment of Interventional Radiology, The Affiliated Wuxi No 5 People's Hospital of Jiangnan University, No. 1215, Guangrui Road, Wuxi, 214023, China.
Wei ChenDepartment of Interventional Radiology, The Affiliated Wuxi No 5 People's Hospital of Jiangnan University, No. 1215, Guangrui Road, Wuxi, 214023, China. cw681108@163.com.
Wei-Dong WangDepartment of Interventional Radiology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, No. 299, Wuxi, 214023, China. Wdoc@sina.com.

Funding

the Soft Science Research Project of the Wuxi (Jiangsu, China) Association for Science and Technology and the Scientific KX-24-C312
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the predictive efficacy of the prognostic nutritional index (PNI) in patients with intermediate and advanced hepatocellular carcinoma (HCC) treated with a regimen consisting of hepatic arterial infusion chemotherapy (HAIC), PD-(L)1 inhibitors, and molecular targeted therapies (MTTs).

methodsA retrospective analysis was performed on the data of 88 HCC patients received triple therapy between January 2020 and August 2022 at three medical centers. Univariate and multivariable analyses were conducted to assess the relationship between PNI and survival outcomes.

resultsThe median follow-up was 11.0 months (IQR: 8.0-17.0). The PNI cut-off value of 38.6 was determined using receiver operating characteristics (ROC) analysis. The median overall survival (OS) durations were 29.0 and 8.0 months in the high-PNI (≥ 38.6) and low-PNI (≤ 38.6) groups, respectively (HR = 0.306, 95% CI, 0.170-0.552, P < 0.001), and the median progression-free survival (PFS) durations were16.0 and 6.0 months, respectively (HR = 0.521, 95% CI, 0.303-0.896, P = 0.014). A higher complete response rate was observed in the high-PNI group (17.5% vs. 3.2%, P = 0.033). The univariate and multivariable analyses revealed that a PNI of ≥ 38.6 had an independent influence on both median OS (HR = 0.296; 95% CI, 0.159-0.551, P < 0.001) and median PFS (HR = 0.560; 95% CI, 0.318-0.987, P = 0.045).

conclusionThe PNI is an objective and convenient tool that can potentially predict the prognosis of patients treated with HAIC-based triple therapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularImmune Checkpoint InhibitorsLiver NeoplasmsMolecular Targeted TherapyNutrition AssessmentAdultAgedB7-H1 AntigenFemaleHumansInfusions, Intra-ArterialMaleMiddle AgedPrognosisProgression-Free SurvivalB7-H1 AntigenImmune Checkpoint InhibitorsHepatic arterial infusion chemotherapyHepatocellular carcinomaImmunotherapyMolecular targeted therapiesPrognostic nutritional index

Identifiers

PMID40181323
PMCPMC11966872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.