ArticleThe Journal of international medical research2020
Serum proteomic analysis of
Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of biomarkers for differentiating active tuberculosis from latent tuberculosis: a systematic review and Bayesian network meta-analysis.Frontiers in microbiology · 2024Pooled it
- Detection for New Biomarkers of Tuberculosis Infection Activity Using Machine Learning Methods.Diseases (Basel, Switzerland) · 2026Review
- Adenosine Deaminase and Systemic Immune Inflammatory Index-A Biomarker Duet Signature of Pulmonary Tuberculosis Severity.Medicina (Kaunas, Lithuania) · 2025Observational
- Advances in the Diagnosis of Latent Tuberculosis Infection.Infection and drug resistance · 2025Review
- Comparative Proteomic Analysis of Cell Wall Proteins of Aminoglycosides Resistant and SensitiveCurrent protein & peptide science · 2025Article
- Universal Lineage-Independent Markers of Multidrug Resistance inMicroorganisms · 2024Article
- From immunology to artificial intelligence: revolutionizing latent tuberculosis infection diagnosis with machine learning.Military Medical Research · 2023Review
- Functional Whole Genome Screen of Nutrient-StarvedMicroorganisms · 2023Article
- Review
- Diagnosis and biomarkers for ocular tuberculosis: From the present into the future.Theranostics · 2023Review
- A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021Review
- Aptamer-Based Diagnostic Systems for the Rapid Screening of TB at the Point-of-Care.Diagnostics (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.