Evidence map›Paper›PMID 36875116›Full record

ArticleFrontiers in immunology2023

Prediction of early treatment response to the combination therapy of TACE plus lenvatinib and anti-PD-1 antibody immunotherapy for unresectable hepatocellular carcinoma: Multicenter retrospective study.

Shuqun Li, Junyi Wu, Jiayi Wu, Yangkai Fu, Zhenxin Zeng, Yinan Li, Han Li, Weijia Liao, Maolin Yan

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

9 authors at 3 institutions in 1 country.

Shuqun LiShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Junyi WuShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Jiayi WuShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Yangkai FuShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Zhenxin ZengShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Yinan LiShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Han LiShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Weijia LiaoDepartment of Hepatobiliary Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Maolin YanShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Fujian Medical University · CNGuilin Medical University · CNFujian Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: The purpose of this study was to investigate and validate the efficacy of a nomogram model in predicting early objective response rate (ORR) in u-HCC patients receiving a combination of TACE, Lenvatinib, and anti-PD-1 antibody treatment after 3 months (triple therapy). Method: This study included 169 u-HCC cases from five different hospitals. As training cohorts (n = 102), cases from two major centers were used, and external validation cohorts (n = 67) were drawn from the other three centers. The clinical data and contrast-enhanced MRI characteristics of patients were included in this retrospective study. For evaluating MRI treatment responses, the modified revaluation criteria in solid tumors (mRECIST) were used. Univariate and multivariate logistic regression analyses were used to select relevant variables and develop a nomogram model. Our as-constructed nomogram was highly consistent and clinically useful, as confirmed by the calibration curve and decision curve analysis (DCA); an independent external cohort also calibrated the nomogram. Results: The ORR was 60.7% and the risk of early ORR was independently predicted by AFP, portal vein tumor thrombus (PVTT), tumor number, and size in both the training (C-index = 0.853) and test (C-index = 0.731) cohorts. The calibration curve revealed that the nomogram-predicted values were consistent with the actual response rates in both cohorts. Furthermore, DCA indicated that our developed nomogram performed well in clinical settings. Conclusion: The nomogram model accurately predicts early ORR achieved by triple therapy in u-HCC patients, which aids in individual decision-making and modifying additional therapies for u-HCC cases.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansImmunotherapyPhenylurea CompoundsQuinolinesRetrospective StudieslenvatinibPhenylurea CompoundsQuinolinesanti-PD-1 antibodyimmunotherapylevantinibnomogramTACEunresectable hepatocellular carcinoma

Identifiers

PMID36875116
PMCPMC9981935
OpenAlexW4321235091

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.