Evidence map›Paper›PMID 37872909›Full record

ArticleCureus2023

Digital Versus Conventional Teaching of Surgical Pathology: A Comparative Study.

Pushpak Chaudhari, Shilpa Gupta, Shanu Srivastav, Vivek Sanker, Gnana Deepthi Medarametla, Akash Pandey, Yash Agarwal

Abstract read
In one paragraph

Article in Cureus, 2023. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

7 authors.

Pushpak ChaudhariSurgery, Terna Speciality Hospital and Research Centre, Mumbai, IND.
Shilpa GuptaPathology, Terna Medical College, Mumbai, IND.
Shanu SrivastavPathology, Terna Medical College, Mumbai, IND.
Vivek SankerGeneral Surgery, Noorul Islam Institute of Medical Science (NIMS), Trivandrum, IND.
Gnana Deepthi MedarametlaInternal Medicine, Amma Multispeciality Hospital, Thorur, IND.
Akash PandeyInternal Medicine, Dr. Rajendra Prasad Government Medical College, Tanda, IND.
Yash AgarwalMedicine, West Bengal University of Health Sciences, Kolkata, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the digital method and the conventional method of teaching surgical pathology to medical students.

methodsA prospective case-control study was conducted on second-year students during the period of August 20, 2022, through January 15, 2023. Students, divided into two groups of 45 each, were taught surgical pathology via both conventional and digital methods. Four specimens and four slides were taught in total to the same set of students. A pre-test and a post-test were used to evaluate students' performance and the impact of the teaching method. The answers were analyzed using a paired t-test. In the end, students' responses were obtained regarding their views on a better method of teaching on a Likert scale.

resultsTo study gross pathology, 50.7% of students were in favor of the digital method, and 21% were not in favor. For the microscopic examination of tissues, 56.92% of students were in favor of the digital method, and 15% were not in favor. There was a significant increase in post-test scores (12.54-9.79 = 2.75, p=0.007) when digital methods for teaching surgical pathology were applied.

conclusionThe Likert scale demonstrated that the digital method of teaching surgical pathology not only improved student performance but also resulted in a better understanding of the subject.

Indexed as

biopsyconventionaldigitalmicroscopy slidespathology

Identifiers

PMID37872909
PMCPMC10590475

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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.