Evidence map›Paper›PMID 30289391›Full record

ArticleThe Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology2019

Predictors of poor outcomes in 488 patients with herb-induced liver injury.

Yun Zhu, Ming Niu, Jia-Bo Wang, Rui-Lin Wang, Jian-Yu Li, Yan-Qi Ma, Yan-Ling Zhao, Yan-Fang Zhang, Ting-Ting He, Si-Miao Yu and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Herb-Induced Liver Injury-A Challenging Diagnosis.Healthcare (Basel, Switzerland) · 2022
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Complementary and Alternative Medicine-related Drug-induced Liver Injury in Asia.Journal of clinical and translational hepatology · 2019
    Review
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

14 authors at 4 institutions in 2 countries.

Yun ZhuIntegrative Medical Center, 302 Military Hospital, Beijing, China.
Ming NiuChina Military Institute of Chinese Medicine, 302 Military Hospital, Beijing, China.
Jia-Bo WangChina Military Institute of Chinese Medicine, 302 Military Hospital, Beijing, China.
Rui-Lin WangIntegrative Medical Center, 302 Military Hospital, Beijing, China.
Jian-Yu LiIntegrative Medical Center, 302 Military Hospital, Beijing, China.
Yan-Qi MaKassel University School of Electrical Engineering and Computer Science, Kassel, Germany.
Yan-Ling ZhaoChina Military Institute of Chinese Medicine, 302 Military Hospital, Beijing, China.
Yan-Fang ZhangChina Military Institute of Chinese Medicine, 302 Military Hospital, Beijing, China.
Ting-Ting HeIntegrative Medical Center, 302 Military Hospital, Beijing, China.
Si-Miao YuIntegrative Medical Center, 302 Military Hospital, Beijing, China.
Yu-Ming GuoChina Military Institute of Chinese Medicine, 302 Military Hospital, Beijing, China.
Fan ZhangIntegrative Medical Center, 302 Military Hospital, Beijing, China.
Xiao-He XiaoChina Military Institute of Chinese Medicine, 302 Military Hospital, Beijing, China.
Johannes SchulzeInstitute of Industrial, Environmental and Social Medicine, Goethe University School of Medicine, Frankfurt, Germany.
302 Military Hospital of China · CNChinese People's Liberation Army · CNGoethe University Frankfurt · DEUniversity of Kassel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsHerb-induced liver injury (HILI) can lead to chronic liver injury, liver transplantation, or even death. This study aimed to identify the predictors of poor HILI outcomes, especially chronic HILI. MATERIALS AND

methodsClinical data of 488 patients with HILI were retrospectively analyzed from a Chinese center between January 2010 and January 2014. Logistic regression and C-statistic were used to identify risk factors and prognostic models for HILI outcomes.

resultsIn all patients, 69 (14.1%) developed chronic HILI, and 20 (4.1%) died due to liver injury or underwent liver transplantation. To predict the fatal HILI prognosis, the model for end-stage liver disease (MELD) with a C-statistic of 0.981 (95%CI 0.968-0.995) was better than Hy's law (C-statistic 0.569; 95%CI 0.449-0.689). The latency, course of peak alanine aminotransferase decreasing >50% after discontinuation of herb application, peak triglyceride value, and platelet count at liver injury onset were identified as independent risk factors for chronicity with the adjusted odds ratios of 1.268 (95% confidence interval [CI] 1.034-1.554), 2.303 (95%CI 1.588-3.340), 0.580 (95%CI 0.343-0.978), and 0.183 (95%CI 0.091-0.368), respectively. A prognostic model for chronic HILI based on these four factors yielded the best prediction with a C-statistic of 0.812 (95%CI 0.755-0.868), compared with MELD (C-statistic 0.506; 95%CI 0.431-0.581) and Hy's law (C-statistic 0.418; 95%CI 0.343-0.492).

conclusionModel for end-stage liver disease can be used to predict the fatal prognosis of HILI. A long latency, slow recovery, and low triglyceride value and platelet counts are important determinants for chronic HILI.

Indexed as

Severity of Illness IndexAdultAlanine TransaminaseChemical and Drug Induced Liver InjuryChinaFemaleHumansLiver TransplantationLogistic ModelsMaleMiddle AgedPlants, MedicinalPlatelet CountPredictive Value of TestsPrognosisRetrospective StudiesAlanine TransaminaseTriglycerides

Identifiers

PMID30289391
PMCPMC6389292
OpenAlexW2890185417

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.