Evidence map›Paper›PMID 29034813›Full record

ReviewJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2018

A review of medical terminology standards and structured reporting.

Abdullah Awaysheh, Jeffrey Wilcke, François Elvinger, Loren Rees, Weiguo Fan, Kurt Zimmerman

Abstract readReview
In one paragraph

Review in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2018. 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
–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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Friction knot terminology is inconsistent in veterinary surgery.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2025
    Article
  14. Oral Health Misinformation on Youtube - A Content Analysis.Journal of pharmacy & bioallied sciences · 2024
    Article
  15. Article
  16. Article
  17. Defining Telehealth for Research, Implementation, and Equity.Journal of medical Internet research · 2022
    Article
  18. Review
  19. Deep-learning-based automated terminology mapping in OMOP-CDM.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  20. Disease diagnostic coding to facilitate evidence-based medicine: current and future perspectives.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    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

6 authors.

Abdullah AwayshehDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine (Awaysheh, Wilcke, Zimmerman), Virginia Tech, Blacksburg, VA.
Jeffrey WilckeDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine (Awaysheh, Wilcke, Zimmerman), Virginia Tech, Blacksburg, VA.
François ElvingerDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine (Awaysheh, Wilcke, Zimmerman), Virginia Tech, Blacksburg, VA.
Loren ReesDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine (Awaysheh, Wilcke, Zimmerman), Virginia Tech, Blacksburg, VA.
Weiguo FanDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine (Awaysheh, Wilcke, Zimmerman), Virginia Tech, Blacksburg, VA.
Kurt ZimmermanDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine (Awaysheh, Wilcke, Zimmerman), Virginia Tech, Blacksburg, VA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much effort has been invested in standardizing medical terminology for representation of medical knowledge, storage in electronic medical records, retrieval, reuse for evidence-based decision making, and for efficient messaging between users. We only focus on those efforts related to the representation of clinical medical knowledge required for capturing diagnoses and findings from a wide range of general to specialty clinical perspectives (e.g., internists to pathologists). Standardized medical terminology and the usage of structured reporting have been shown to improve the usage of medical information in secondary activities, such as research, public health, and case studies. The impact of standardization and structured reporting is not limited to secondary activities; standardization has been shown to have a direct impact on patient healthcare.

Indexed as

AnimalsHumansMedical Records Systems, ComputerizedVeterinary MedicineMedical terminologyontologySNOMEDstandardsstructured reporting

Identifiers

PMID29034813
PMCPMC6504145

What OpenQuestion holds

Textmetadata
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.