Evidence map›Paper›PMID 34670875›Full record

ReviewGut and liver2022

Therapeutic Drug Monitoring of Biologics for Patients with Inflammatory Bowel Diseases: How, When, and for Whom?

Jia-Feng Wu

Open access · diamondAbstract readReview
In one paragraph

Review in Gut and liver, 2022. 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
1.4field-weighted citation impact, top 17% 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, 13 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Jia-Feng WuDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0001-6343-1658
National Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the past decade, we have entered an era of biologics for the treatment of Crohn's disease and ulcerative colitis. The therapeutic goal of inflammatory bowel disease (IBD) management has evolved from symptom control and clinical remission to mucosal healing or even deep remission. Histological remission for ulcerative colitis and transmural healing of Crohn's disease are potential future goals. With the adoption of the treat-to-target concept, and given the need for tight control of IBD activity, therapeutic drug monitoring (TDM) is an important element of precision medicine. TDM involves the measurement of serum biologics and anti-drug antibodies levels, to confirm whether the right drug with the right dosage was prescribed to reach the right serum levels. TDM may help clinicians adjust biologics based on objective biomarkers instead of using empirical dosage escalation or making symptom-based therapeutic adjustments. Well-established reactive TDM algorithms have been proposed, and emerging evidence supports the clinical application of a proactive TDM strategy to enhance the duration of effective biologics and improve clinical outcomes. Recently, the proactive TDM strategy was shown to avoid the secondary loss of response to biologics, and improve long-term clinical outcomes in IBD patients. This review summarizes data from trials, and practice guidelines, on the clinical application of proactive and reactive TDM strategies for the daily care of biologic-treated IBD patients.

Indexed as

Biological ProductsColitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesDrug MonitoringGastrointestinal AgentsHumansBiological ProductsGastrointestinal AgentsBiologicsCrohn̕s diseaseInflammatory bowel diseaseTherapeutic drug monitoringUlcerative colitis

Identifiers

PMID34670875
PMCPMC9289828
OpenAlexW3205150850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.