Evidence map›Paper›PMID 35517815›Full record

ArticleFrontiers in pharmacology2022

Effectiveness of Prophylactic Use of Hepatoprotectants for Tuberculosis Drug-Induced Liver Injury: A Population-Based Cohort Analysis Involving 6,743 Chinese Patients.

Qin Chen, Airong Hu, Aixia Ma, Feng Jiang, Yue Xiao, Yanfei Chen, Ruijian Huang, Tianchi Yang, Jifang Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.2field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Incidence and risk factors of antituberculosis drug-induced liver injury in India: A systematic review and meta-analysis.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2025
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Qin ChenHwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Airong HuHwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Aixia MaSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Feng JiangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Yue XiaoSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Yanfei ChenSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Ruijian HuangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Tianchi YangInstitute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Jifang ZhouSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
China Pharmaceutical University · CNUniversity of Chinese Academy of Sciences · CNNingbo Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

drug-induced liver injuryhigh-dimensional propensity scorepharmacotherapyprophylaxistuberculosis

Identifiers

PMID35517815
PMCPMC9065346
OpenAlexW4224240320

What OpenQuestion 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 OpenQuestion graph.