ArticleBioinformatics (Oxford, England)2016
Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms.
Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses 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
19 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Effect of Exercise on Parathyroid Hormone Levels in Dialysis Patients: A Systematic Review and Meta-Analysis.Hemodialysis international. International Symposium on Home Hemodialysis · 2026Pooled it
- Artificial intelligence in preoperative diagnosis of thyroid nodules: a bibliometric analysis.Frontiers in oncology · 2026Pooled it
- Bibliometric and Latent Dirichlet Allocation (LDA) analysis of artificial intelligence for thyroid nodules.Frontiers in endocrinology · 2026Pooled it
- Meta-Analysis of Gene Popularity: Less Than Half of Gene Citations Stem from Gene Regulatory Networks.Genes · 2021Pooled it
- Animal models of spinal cord injury: a systematic review.Spinal cord · 2017Pooled it
- Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Mapping the research landscape of artificial hearts: identifying hotspots and frontiers through bibliometric analysis.Frontiers in cardiovascular medicine · 2025Review
- Review
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- Accuracy of Diagnostic Tests for the Detection of Chagas Disease: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2022Review
- Improved dynamics of sharing research findings in the COVID-19 epidemic compared with the SARS and Ebola epidemics.BMC public health · 2021Article
- PDC - a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Inferring new relations between medical entities using literature curated term co-occurrences.JAMIA open · 2019Article
- CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata.BMC bioinformatics · 2018Article
- PubMed Phrases, an open set of coherent phrases for searching biomedical literature.Scientific data · 2018Article
- Research Trend Visualization by MeSH Terms from PubMed.International journal of environmental research and public health · 2018Article
- Interventions targeting the prescribing and monitoring of vancomycin for hospitalized patients: a systematic review with meta-analysis.Infection and drug resistance · 2018Review
- Interventions Targeting the Prescribing and Monitoring of Vancomycin for Hospitalized Patients: A Systematic Review Protocol.Infectious diseases and therapy · 2017Review
- Rapid and Reusable Text Visualization and Exploration Development with DELVE.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
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
unlabelledMedical Subject Headings (MeSH(®)) is a controlled vocabulary for indexing and searching biomedical literature. MeSH terms and subheadings are organized in a hierarchical structure and are used to indicate the topics of an article. Biologists can use either MeSH terms as queries or the MeSH interface provided in PubMed(®) for searching PubMed abstracts. However, these are rarely used, and there is no convenient way to link standardized MeSH terms to user queries. Here, we introduce a web interface which allows users to enter queries to find MeSH terms closely related to the queries. Our method relies on co-occurrence of text words and MeSH terms to find keywords that are related to each MeSH term. A query is then matched with the keywords for MeSH terms, and candidate MeSH terms are ranked based on their relatedness to the query. The experimental results show that our method achieves the best performance among several term extraction approaches in terms of topic coherence. Moreover, the interface can be effectively used to find full names of abbreviations and to disambiguate user queries. AVAILABILITY AND IMPLEMENTATION: https://www.ncbi.nlm.nih.gov/IRET/MESHABLE/ CONTACT: sun.kim@nih.gov SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.