Evidence map›Paper›PMID 38887400›Full record

ReviewMedical science educator2024

Blending Conventional Learning Approach with Contemporary Visualization Technologies: Prerequisite Toward Evidence-Based Surface Anatomy.

Apurba Patra, Adil Asghar, Priti Chaudhary, Kumar Satish Ravi

Abstract readReview
In one paragraph

Review in Medical science educator, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Apurba PatraAll India Institute of Medical Sciences, Bathinda, India.ORCID 0000-0002-1107-4481
Adil AsgharAll India Institute of Medical Sciences, Patna, India.ORCID 0000-0002-1404-1298
Priti ChaudharyAll India Institute of Medical Sciences, Bathinda, India.ORCID 0000-0002-5869-1743
Kumar Satish RaviAll India Institute of Medical Sciences, Gorakhpur, India.ORCID 0000-0003-0527-2825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proficiency in surface anatomy knowledge plays a pivotal role in fostering complication-free and efficacious clinical practice across a wide spectrum of healthcare specialties. This comprehensive understanding and adept utilization of surface anatomy principles serve as the linchpin for deciphering normal anatomical structures within medical imaging and the aptitude to articulate the topographical attributes, visual characteristics, and interrelations of palpable anatomical entities. Despite the advent of advanced direct visualization techniques, such as ultrasound guidance, which assist in interventional procedures, clinicians have not relinquished the indispensable requirement for pertinent surface anatomy knowledge to ensure the successful and secure execution of procedures. Regrettably, evidence-based surface anatomy remains an underemphasized facet in the pedagogy of anatomical sciences. The current narrative review underscores the various methodologies employed in imparting surface anatomy education to students. However, it is noteworthy that no singular, unequivocal best practice has emerged for the teaching and acquisition of surface anatomy knowledge. Therefore, as custodians of anatomical education, there is a pressing need to innovate and amalgamate contemporary pedagogical approaches with state-of-the-art technologies to furnish students with evidence-based surface anatomy insights, thereby enhancing comprehension, retention, and the lasting utility of this essential domain of medical knowledge.

Indexed as

Body paintingLiving anatomySurface anatomyVirtual dissectorVisualization

Identifiers

PMID38887400
PMCPMC11180074

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.