Evidence map›Paper›PMID 37719962›Full record

ArticleJournal of clinical and translational hepatology2023

Development and Validation of a Clinical Risk Score to Predict Immune-mediated Liver Injury Caused by Sintilimab: Assessed for Causality Using Updated RUCAM.

Caiyun Zheng, Shunmin Huang, Meimei Lin, Baohui Hong, Hengfen Dai, Jing Yang

Abstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 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
–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

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

  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.

Caiyun ZhengDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0001-8201-6820
Shunmin HuangDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0002-1610-4109
Meimei LinDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0001-8981-5430
Baohui HongCollege of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0003-2185-9095
Hengfen DaiAffiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0002-2037-4208
Jing YangDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0003-0620-4306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Immune-mediated liver injury is a fatal side effect of sintilimab. This study aimed to shed light on the associated risk factors and characteristics of this adverse event. Methods: The clinical records of 772 patients treated with sintilimab were retrospectively reviewed to investigate risk factors associated with sintilimab immune-related hepatotoxicity, as well as its incidence and outcome. The Roussel Uclaf Causality Assessment Method was used to identify cases of sintilimab-induced hepatotoxicity. Furthermore, logistic regressions were performed to compare the clinical and bloodwork characteristics of patients with and without immune-mediated liver injury caused by checkpoint inhibitors. Results: Of the 585 patients included in the study, 71 (12.1%) developed liver injury during sintilimab use. The median RUCAM score with interquartile range was 7 (6, 8). Hypoproteinemia, dyslipidemia, and the presence of thyroid peroxidase antibodies were risk factors for sintilimab-related hepatotoxicity. A nomogram model was constructed for sintilimab-induced immune-mediated liver injury based on these risk factors, which had a C-index value of 0.713 and a good calibration curve. When applied to patients with grade ≥3 and ≥4 sintilimab-induced immune-mediated liver injury, it achieved C-index values of 0.752 and 0.811, respectively. The nomogram model also showed a good prediction potential in patients ≥65 years and males. Six of the patients with sintilimab-related hepatotoxicity showed improved liver function upon treatment with steroids. Conclusions: This study demonstrated that hypoproteinemia, dyslipidemia, and the presence of thyroid peroxidase antibodies were clinically feasible prognostic biomarkers to predict liver injury in patients treated with sintilimab.

Indexed as

Checkpoint inhibitor-related immune-mediated liver injuryHepatotoxicityRisk factorsSintilimabUpdated RUCAM

Identifiers

PMID37719962
PMCPMC10500293

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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.