Evidence map›Paper›PMID 33880266›Full record

ArticleCureus2021

Academic Integrity in Traditional Vs Online Undergraduate Medical Education Amidst COVID-19 Pandemic.

Faiza Ikram, Muhammad Ali Rabbani

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  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

2 authors at 2 institutions in 2 countries.

Faiza IkramPhysiology, CMH Multan Institute of Medical Sciences, Multan, PAK.
Muhammad Ali RabbaniAnatomy, CMH Multan Institute of Medical Sciences, Multan, PAK.
Institute of Medical Sciences · INNishtar Medical College and Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the coronavirus disease (COVID-19) pandemic, undergraduate medical education made a drastic paradigm shift towards online learning and assessment. This study was aimed at developing a statistical approach to empirically analyze the academic integrity of the online exams. Data were collected retrospectively from academic records of Physiology and Anatomy courses of a private medical college, in which students had attempted sequential on-campus and online modular exams. We developed a statistical model to predict on-campus and online exam scores of undergraduate medical students, from their previous academic records. Hypothesizing that the predictor model contains comparable explanatory power for both exams, we utilized the explanatory power variation (R

Indexed as

anatomyethicsmedical educationonline learningphysiology

Identifiers

PMID33880266
PMCPMC8051425
OpenAlexW3136340269

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.