Evidence map›Paper›PMID 28994679›Full record

ReviewAnnals of cardiac anaesthesia

Ischemic mitral regurgitation.

Praveen Kerala Varma, Neethu Krishna, Reshmi Liza Jose, Ashish Narayan Madkaiker

Abstract readReview
In one paragraph

Review in Annals of cardiac anaesthesia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Revascularization for Coronary Artery Disease and Mitral Regurgitation: A Systematic Review and Meta-analysis.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Acute Ischaemic Mitral Valve Regurgitation.Journal of clinical medicine · 2022
    Review
  14. Article
  15. Guide to functional mitral regurgitation: a contemporary review.Cardiovascular diagnosis and therapy · 2021
    Review
  16. Article
  17. Review
  18. Indian journal of thoracic and cardiovascular surgery · 2020
    Review
  19. Article
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Praveen Kerala VarmaDivision of Cardiac Surgery, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham (Amrita University), Kochi, Kerala, India.
Neethu KrishnaDivision of Cardiac Surgery, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham (Amrita University), Kochi, Kerala, India.
Reshmi Liza JoseDivision of Anesthesiology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham (Amrita University), Kochi, Kerala, India.
Ashish Narayan MadkaikerDivision of Cardiac Surgery, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham (Amrita University), Kochi, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic mitral regurgitation (IMR) is a frequent complication of left ventricular (LV) global or regional pathological remodeling due to chronic coronary artery disease. It is not a valve disease but represents the valvular consequences of increased tethering forces and reduced closing forces. IMR is defined as mitral regurgitation caused by chronic changes of LV structure and function due to ischemic heart disease and it worsens the prognosis. In this review, we discuss on etiology, pathophysiology, and mechanisms of IMR, its classification, evaluation, and therapeutic corrective methods of IMR.

Indexed as

Coronary Artery DiseaseHumansMitral ValveMitral Valve InsufficiencyMyocardial Ischemia

Identifiers

PMID28994679
PMCPMC5661313

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.