Evidence map›Paper›PMID 39959342›Full record

ReviewLiver research (Beijing, China)2021

Clinical perspectives of isoniazid-induced liver injury.

Saifei Lei, Ruizhi Gu, Xiaochao Ma

Abstract readReview
In one paragraph

Review in Liver research (Beijing, China), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Recent advances in tuberculosis treatment: Towards shorter, safer, and more effective therapies.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
  3. Drug-Induced Liver Injury-Pharmacological Spectrum Among Children.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Latent TB treatment regimens in 2023: Wetmore TB clinic in New Orleans.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

3 authors.

Saifei LeiCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Ruizhi GuCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Xiaochao MaCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Pharmacoenhancers for antiretroviral therapy: safety and future developmentR01AI131983 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MA, XIAOCHAO · 2017 to 2021
$1.9M
Preclinical screening and validation for PXR-mediated herb-drug interactions associated with anti-HIV therapyR21AT011088 · NCCIH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MA, XIAOCHAO · 2020 to 2021
$421k
NCCIH NIH HHS R21 AT011088NIAID NIH HHS R01 AI131983
6 · The paper itself

Abstract

Isoniazid (INH) is a synthetic anti-mycobacterial agent used to treat active or latent tuberculosis (TB). INH has been in clinical use for nearly 70 years and remains broadly utilized at the front line of anti-TB treatment. However, the potential for liver damage and even fulminant liver failure during INH-based TB treatment presents a major challenge for TB control programs worldwide. In this review, we discuss the hepatotoxic effects of INH and provide an overview of the mechanisms and their applications in prediction and prevention of INH hepatotoxicity in clinical practice.

Indexed as

HepatotoxicityIsoniazid (INH)Liver injuryTuberculosis (TB)

Identifiers

PMID39959342
PMCPMC11791842

What OpenQuestion holds

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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.