Evidence map›Paper›PMID 38638713›Full record

ReviewCureus2024

Anatomical Ignorance Resulting in Iatrogenic Causes of Human Morbidity.

Taylor Moglia, Catherine Falkenstein, Finn Rieker, Nang Tun, Mathangi Rajaram-Gilkes

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Taylor MogliaMedical Education, Geisinger Commonwealth School of Medicine, Scranton, USA.
Catherine FalkensteinMedical Education, Geisinger Commonwealth School of Medicine, Scranton, USA.
Finn RiekerMedical Education, Geisinger Commonwealth School of Medicine, Scranton, USA.
Nang TunMedical Education, Geisinger Commonwealth School of Medicine, Scranton, USA.
Mathangi Rajaram-GilkesMedical Education, Geisinger Commonwealth School of Medicine, Scranton, USA.
Commonwealth Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article discusses how inadequate anatomy education contributes to iatrogenic causes of human morbidity and mortality. Through a review of the relevant literature, high-yield clinical cases were identified in which a lack of sufficient anatomical knowledge contributed to patient morbidity, such as abscess formation and neuropathy as a result of improper intramuscular injections, superior gluteal nerve injuries due to surgical procedures, and misdiagnoses due to physicians' inability to examine and correlate clinical and radiological findings. The importance of a multimodal learning approach in anatomy education for medical students, which includes the utilization of the cadaveric dissection approach to emphasize spatial understanding, is crucial for the development of competent physicians with a deep-rooted foundational knowledge of anatomy and related concepts, such as physiology, pathology, and radiology. It cannot be understated that anatomy education and a lack of knowledge of anatomy and related concepts may influence iatrogenic causes of human morbidity and mortality. Therefore, all efforts should be made to ensure that students develop a strong foundational anatomy knowledge during their preclinical years.

Indexed as

anatomy educationanatomy in clinical yearsanatomy in preclinical yearsflipped classroomradiology in anatomy

Identifiers

PMID38638713
PMCPMC11025880
OpenAlexW4392946416

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.