Evidence map›Paper›PMID 30919602›Full record

ReviewGut and liver2020

Optimizing the Use of Current Treatments and Emerging Therapeutic Approaches to Achieve Therapeutic Success in Patients with Inflammatory Bowel Disease.

Hiroshi Nakase

Abstract readReview
In one paragraph

Review in Gut and liver, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Rhamnogalacturonan rich fractions isolated fromNutrition research and practice · 2026
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  15. Artificial intelligence-assisted endoscopy changes the definition of mucosal healing in ulcerative colitis.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2021
    Article
  16. 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

1 author.

Hiroshi NakaseDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current goal of inflammatory bowel disease (IBD) treatment is a symptom-free everyday life accompanied by mucosal healing with minimal use of corticosteroids. Recent therapeutic advances, particularly, the emergence of anti-tumor necrosis factor (anti-TNF) antibodies, have changed the natural history of IBD. Additionally, these advances also led to the emergence of the therapeutic concept of the "treat to target" strategy. With the development of new drugs and clinical trials, not only biologics but also small molecules have been applied to clinical practice to better individualize and optimize therapy. However, if newer drugs, including anti-TNF therapies, are recommended for all patients diagnosed with IBD, a significant number of patients will be overtreated. The basic goal of IBD treatment is still to make the best use of conventional treatments based on IBD pathophysiology. Thus, physicians should be familiar with the modes of action of the available drugs. In this review, the author discusses the existing data for many approved drugs and provide insights for optimizing current treatments for the management of patients with IBD in the era of biologics.

Indexed as

Biological ProductsHumansImmunotherapyInflammatory Bowel DiseasesTumor Necrosis Factor InhibitorsBiological ProductsTumor Necrosis Factor InhibitorsBiologicsImmunomodulatorsJanus kinase inhibitorsMesalaminePrednisolone

Identifiers

PMID30919602
PMCPMC6974326

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.