Evidence map›Paper›PMID 36465792›Full record

ReviewCureus2022

Risk of Liver Fibrosis in Methotrexate-Treated Patients: A Systematic Review.

Sumahitha Bichenapally, Vahe Khachatryan, Asmaa Muazzam, Chandani Hamal, Lakshmi Sai Deepak Reddy Velugoti, Godfrey Tabowei, Greeshma N Gaddipati, Maria Mukhtar, Mohammed J Alzubaidee, Raga Sruthi Dwarampudi and 2 more

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. 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
1.4field-weighted citation impact, top 19% 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

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

  1. S3 Guideline for the treatment of psoriasis vulgaris, adapted from EuroGuiDerm - part 1: Treatment recommendations and monitoring.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026
    Guideline
  2. Article
  3. Review
  4. Vincamine Mitigates Methotrexate-Induced Liver Fibrosis Model.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
    Article
  5. Review
  6. Article
  7. 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

12 authors at 1 institution in 1 country.

Sumahitha BichenapallyInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Vahe KhachatryanInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Asmaa MuazzamPathology Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Chandani HamalInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Lakshmi Sai Deepak Reddy VelugotiResearch, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Godfrey TaboweiInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Greeshma N GaddipatiResearch, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Maria MukhtarInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Mohammed J AlzubaideeInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Raga Sruthi DwarampudiResearch, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Sheena MathewPediatrics, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Safeera KhanInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
California Institute of Behavioral Neurosciences and Psychology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methotrexate (MTX), an antifolate agent, is recommended as the first-line disease-modifying antirheumatic drug (DMARD). In this systematic review, our goals were to assess liver fibrosis in methotrexate-treated patients, evaluate liver fibrosis in relation to treatment duration and cumulative dose, and identify differences based on the underlying disease. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to perform the systematic review. We thoroughly searched PubMed, PubMed Central (PMC), and Cochrane library databases to identify relevant articles based on predefined selection criteria. Studies were selected based on the following predefined eligibility criteria: English language, papers from the last 20 years, systematic reviews, observational studies, randomized controlled trials (RCTs), and clinical trials, which included papers on MTX playing roles in the development of liver fibrosis with the derived data transferred to a template. Following that, quality was assessed using the appropriate assessment tool for each study. The initial search yielded 512 results. Following a thorough review, 10 studies were chosen for final consideration: eight observational studies and two systematic reviews. Liver enzyme (LE) elevations during MTX therapy are a common but transient problem. Serial abnormal LE tests may be associated with liver pathology, but fibrosis development is uncommon. However, it is unclear from the literature how therapy should be adjusted in the case of elevated LE and to what extent MTX is linked to liver toxicity; definitive conclusions cannot be drawn because more research is needed.

Indexed as

hepatic cirrhosisliver cirrhosisliver enzymesliver fibrosismethotrexate

Identifiers

PMID36465792
PMCPMC9711916
OpenAlexW4307865831

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.