ArticlePloS one2024
C-reactive protein-to-lymphocyte ratio is a novel biomarker for predicting the long-term efficacy of ustekinumab treatment in ulcerative colitis.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Advancing IBD Management: A Literature Review on the Role of Non-Invasive Blood-Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment.Clinical and translational science · 2026Review
- Current and novel biomarkers for predicting and assessing therapeutic response in inflammatory bowel disease: a systematic review.Therapeutic advances in gastroenterology · 2026Review
- C-Reactive Protein-to-Lymphocyte Ratio as a Prognostic Biomarker in Acute Ischemic Stroke Patients Undergoing Mechanical Thrombectomy: A Multicenter Study.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimUstekinumab, a new anti-interleukin-12/23 antibody, is an effective treatment for ulcerative colitis; however, data regarding predictive factors of its efficacy are limited. Predicting treatment efficacy in advance would be useful for selecting a therapeutic agent. This study aimed to identify biomarkers that can predict the long-term outcome of ustekinumab treatment. MATERIALS AND
methodsWe retrospectively reviewed the records of patients with active ulcerative colitis treated with ustekinumab at Osaka Medical and Pharmaceutical University Hospital from June 2020 to January 2023. We divided patients into non-remission and remission groups, and examined whether baseline biomarkers, including C-reactive protein-to-lymphocyte ratio, and early treatment response could predict clinical remission at week 48 of ustekinumab treatment.
resultsOf the 33 patients included in the study, 21 (63.6%) were in clinical remission at week 48 of ustekinumab treatment. Baseline C-reactive protein-to-lymphocyte ratio values were significantly higher in the non-remission than in the remission group. The baseline C-reactive protein-to-lymphocyte ratio value was identified as an independent prognostic factor for clinical remission at week 48 (odds ratio: 10, 95% confidence interval: 1.6-62.4, p = 0.014), with the cutoff value of 3.353 showing excellent prognostic performance (sensitivity: 71.4%, specificity: 83.3%). Furthermore, the clinical response at week 4 (odds ratio: 10, confidence interval: 1.78-56.1, p = 0.009) and that at week 8 (odds ratio: 12, confidence interval: 2.16-66.5, p = 0.005) were significantly associated with clinical remission at week 48.
conclusionsThe baseline C-reactive protein-to-lymphocyte ratio value and early treatment response are useful biomarkers to predict the long-term efficacy of ustekinumab treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.