Evidence map›Paper›PMID 34429945›Full record

ArticleAnnals of medicine and surgery (2012)2021

Applying Bloom's taxonomy in clinical surgery: Practical examples.

Faiz Tuma, Aussama K Nassar

Registry-linked trialAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05520671 (Evaluating TESLA-G, a Gamified, Telegram-delivered, Quizzing Platform for Surgical Education in Medical Students), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

NCT05520671 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Evaluating TESLA-G, a Gamified, Telegram-delivered, Quizzing Platform for Surgical Education in Medical Students: a Protocol for a Pilot Randomised Controlled Trial

TypeinterventionalSponsorNanyang Technological UniversityRan2023 to 2023Enrolled50ConditionsSurgical Education in Medical StudentsArmsGamified online quizzing platform, Conventional quizzing platform
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Advancing obstetrics and gynecology training: The shift toward outcome and based education, a narrative review of literature.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Preoperative Preparatory Talk (PPT): Developing Operative Expertise of Plastic Surgery Trainees by Three Rounds of Preceptor-Trainee Discussions.Indian journal of plastic surgery : official publication of the Association of Plastic Surgeons of India · 2023
    Article
  16. Article
  17. Article
  18. Disparities Impacts Psychiatry Competency Assessments among Students in a Nigerian Medical School.Nigerian medical journal : journal of the Nigeria Medical Association
    Article
  19. Biomedical Language Analysis as a Tool for Curriculum Analysis and Mapping.Journal of medical education and curricular development
    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

2 authors.

Faiz TumaDepartment of Surgery, Central Michigan University College of Medicine, USA.
Aussama K NassarDepartment of Surgery, Stanford University School of Medicine, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloom's cognitive learning taxonomy is widely used in medical education. The revised taxonomy published by David Kathwohl (1956) and his group describes the levels in action forms:

Indexed as

Bloom's taxonomyLearning objectivesSurgical education

Identifiers

PMID34429945
PMCPMC8371225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.