Evidence map›Paper›PMID 31167397›Full record

ReviewCells2019

Molecular Profiling of Inflammatory Bowel Disease: Is It Ready for Use in Clinical Decision-Making?

Ho-Su Lee, Isabelle Cleynen

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  15. Multi-omics in Crohn's disease: New insights from inside.Computational and structural biotechnology journal · 2023
    Review
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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

2 authors at 2 institutions in 2 countries.

Ho-Su LeeLaboratory of Complex Genetics, Department of Human Genetics, KU Leuven, Herestraat 49 - box 610, 3000 Leuven, Belgium. hosu.lee@student.kuleuven.be.
Isabelle CleynenLaboratory of Complex Genetics, Department of Human Genetics, KU Leuven, Herestraat 49 - box 610, 3000 Leuven, Belgium. isabelle.cleynen@kuleuven.be.ORCID 0000-0003-0857-7683
KU Leuven · BEUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a heterogeneous disorder in terms of age at onset, clinical phenotypes, severity, disease course, and response to therapy. This underlines the need for predictive and precision medicine that can optimize diagnosis and disease management, provide more cost-effective strategies, and minimize the risk of adverse events. Ideally, we can leverage molecular profiling to predict the risk to develop IBD and disease progression. Despite substantial successes of genome-wide association studies in the identification of genetic variants affecting IBD susceptibility, molecular profiling of disease onset and progression as well as of treatment responses has lagged behind. Still, thanks to technological advances and good study designs, predicting phenotypes using genomics and transcriptomics in IBD has been rapidly evolving. In this review, we summarize the current status of prediction of disease risk, clinical course, and response to therapy based on clinical case presentations. We also discuss the potential and limitations of the currently used approaches.

Indexed as

Clinical Decision-MakingAntibodies, BacterialCD8-Positive T-LymphocytesForkhead Box Protein O3Genome-Wide Association StudyHumansInflammatory Bowel DiseasesMesalamineRisk FactorsTranscriptomeAntibodies, BacterialForkhead Box Protein O3FOXO3 protein, humanMesalaminegeneticsinflammatory bowel diseasemolecular profilingtranscriptomics

Identifiers

PMID31167397
PMCPMC6627070
OpenAlexW2948686255

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.