Evidence map›Paper›PMID 34877408›Full record

ArticleJournal of medical education and curricular development

"The Heart is a House": A Heuristic for Generating Cardiac Differential Diagnoses.

Malavika Pia Sengupta, Timothy N Crawford, Frederic Stuart Leeds

Open access · goldAbstract read
In one paragraph

Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. The Heart is a House: Poetry as Inspiration and Perspective.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

3 authors at 1 institution in 1 country.

Malavika Pia SenguptaWright State University Boonshoft School of Medicine, Dayton, OH, USA.
Timothy N CrawfordWright State University Boonshoft School of Medicine, Dayton, OH, USA.
Frederic Stuart LeedsWright State University Boonshoft School of Medicine, Dayton, OH, USA.ORCID https://orcid.org/0000-0002-8712-0915
Wright State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferential diagnosis (DDx) is a core clinical reasoning skill that all medical students and physicians must acquire and develop. Metamemory techniques (MMTs), including mnemonic devices and other heuristics, are frequently taught to students as a means of enhancing DDx generation.

methodsIn a 3-hour DDx workshop, second-year medical students were given a brief case vignette of a patient with chest pain and dyspnea and asked to generate initial differential diagnoses before and after learning HIAH. Descriptive statistics and paired T-tests were used to compare the sizes of cardiac-only and total differentials pre-/post-HIAH. Cardiac diagnoses were classified according to the structural categories described by HIAH, and Simpson's Diversity Index (SDI) was used to evaluate the effect of HIAH on the variety of cardiac diagnoses produced.

resultsAll students in the course (

conclusionThe use of HIAH was associated with an increase in the size and variety of cardiac differentials. This increase may have come at the cost of a reduced noncardiac differential. Educators may find HIAH useful for guiding students as they reason through cases involving potential cardiac etiologies. As with all heuristics, care must be exercised to avoid introducing unwanted bias.

Indexed as

differential diagnosisheuristicsmedical education

Identifiers

PMID34877408
PMCPMC8645309
OpenAlexW3209806895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.