Evidence map›Paper›PMID 31850357›Full record

ReviewFrontiers in medicine2019

Can We Predict the Toxicity and Response to Thiopurines in Inflammatory Bowel Diseases?

Raphael P Luber, Sailish Honap, Georgina Cunningham, Peter M Irving

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Pharmacogenomics · 2024
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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

4 authors at 1 institution in 1 country.

Raphael P LuberDepartment of Gastroenterology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
Sailish HonapDepartment of Gastroenterology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
Georgina CunninghamDepartment of Gastroenterology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
Peter M IrvingDepartment of Gastroenterology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
Guy's and St Thomas' NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thiopurines are a cheap, effective treatment option in the management of inflammatory bowel disease (IBD). However, with the growing choice of targeted therapies available, as well as the well-documented toxicities of thiopurines, the role of thiopurines has been questioned. Nevertheless, given their inexpense in an era of spiraling healthcare costs, thiopurines remain an attractive option in the right patients. In the age of personalized medicine, being able to predict patients who will respond as well as those that will develop toxicity to a treatment is vital to tailoring therapy. This review will summarize the available literature with respect to predictors of response and toxicity to thiopurines in order to guide management in IBD. Specifically, toxicities addressed will include myelotoxicity, hepatotoxicity, pancreatitis, alopecia, gastrointestinal and flu-like symptoms, and complications associated with Epstein-Barr virus. While more work needs to be done to further our ability to predict both response to and side effects from therapies, pharmacogenomic research shows significant promise in its ability to personalize our use of thiopurines.

Indexed as

6-mercaptopurineazathioprineCrohn's diseaseinflammatory bowel diseaseresponsethiopurinestoxicityulcerative colitis

Identifiers

PMID31850357
PMCPMC6892750
OpenAlexW2987627863

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.