Evidence map›Paper›PMID 40678657›Full record

ArticleCanadian liver journal2025

Cross-sectional Study of Resident Physician Knowledge and Perceptions Regarding MASLD in Canada.

Kai Zhu, Manisha Jogendran, Yanru Zhang, Trana Hussaini, Daljeet Chahal, Eric M Yoshida

Abstract read
In one paragraph

Article in Canadian liver journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Kai ZhuDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Manisha JogendranDepartment of Medicine, Queen's University, Kingston, Ontario, Canada.
Yanru ZhangDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Trana HussainiFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Daljeet ChahalDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Eric M YoshidaDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately 25% of Canadians. As its prevalence grows, it is crucial for future primary care physicians to have a thorough understanding of MASLD to improve patient care. Methods: We conducted a nationwide cross-sectional survey among resident physicians in primary care specialties to assess their knowledge and perceptions of MASLD. "Reasonable knowledge" was defined as correctly answering over 50% of the questions. Associations were analyzed using χ Results: We received 413 responses, with 252 (61%) from Family Medicine residents and 161 (39%) from Internal Medicine residents. Among the respondents, 91% considered MASLD an important public health issue; however, only 11% felt they had adequate exposure to the condition and 94% endorsed a need for more teaching. Overall, 35% of the respondents displayed a reasonable knowledge of MASLD. In univariate analysis, factors associated with greater MASLD knowledge included Internal Medicine residency ( Conclusions: Resident physicians recognize MASLD as an important health issue but lack adequate exposure and knowledge about the condition. Further emphasis and education are required to bridge these knowledge gaps and improve patient outcomes.

Indexed as

educationfamily practiceinternal medicinemedicalnon-alcoholic fatty liver disease

Identifiers

PMID40678657
PMCPMC12269172

What OpenQuestion holds

Textmetadata
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Registered trials

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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.