Evidence map›Paper›PMID 33573291›Full record

ReviewDiagnostics (Basel, Switzerland)2021

A Review of Selected IBD Biomarkers: From Animal Models to Bedside.

Emiko Mizoguchi, Renuka Subramaniam, Toshiyuki Okada, Atsushi Mizoguchi

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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.

Emiko MizoguchiDepartment of Immunology, Kurume University School of Medicine, 67 Asahi-machi, Fukuoka 830-0011, Japan.
Renuka SubramaniamDepartment of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Toshiyuki OkadaDepartment of Immunology, Kurume University School of Medicine, 67 Asahi-machi, Fukuoka 830-0011, Japan.ORCID 0000-0001-7781-2486
Atsushi MizoguchiDepartment of Immunology, Kurume University School of Medicine, 67 Asahi-machi, Fukuoka 830-0011, Japan.

Funding

Japan Society for the Promotion of Science 18K07987, 20K08318, 19H03645
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a dysregulated inflammatory condition induced by multiple factors. The etiology of IBD is largely unknown, and the disease progression and prognosis are variable and unpredictable with uncontrolled disease behavior. Monitoring the status of chronic colitis closely is challenging for physicians, because the assessment of disease activity and severity require invasive methods. Using laboratory biomarkers may provide a useful alternative to invasive methods in the diagnosis and management of IBD. Furthermore, patients with ulcerative colitis or Crohn's disease are also at risk of developing cancer. Annual colonoscopies can help lower the risk for developing colorectal cancer. However, laboratory biomarkers may also be helpful as non-invasive indicators in predicting treatment responses, improving prognosis, and predicting possible tumors. This review addresses selected laboratory biomarkers (including ANCA, chitinase 3-like 1, S100A12/RAGE, calprotectin, and TNF/TNFR2), which are identified by utilizing two well-accepted animal models of colitis, dextran sodium sulfate-induced and T cell receptor alpha knockout colitis models. In addition to being useful for monitoring disease severity, these biomarkers are associated with therapeutic strategies. The factors may regulate the initiation and perpetuation of inflammatory factors in the gut.

Indexed as

ANCAbiomarkerchitinase 3-like 1colitis-associated cancerinflammatory bowel disease

Identifiers

PMID33573291
PMCPMC7911946

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.