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Record W4292315390 · doi:10.14740/jmc3900

Severe Tricuspid Stenosis Secondary to Permanent Pacemaker Lead

2022· article· en· W4292315390 on OpenAlexvenueno aff
Asif Khan, Ahmad Mustafa, Joanne Ling, James Lafferty

Bibliographic record

VenueJournal of Medical Cases · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTricuspid stenosisInfective endocarditisCardiologyStenosisTricuspid valveEndocarditisSurgeryInternal medicinePermanent pacemakerRestenosisValve replacementBalloonStent

Abstract

fetched live from OpenAlex

Tricuspid stenosis (TS) is a rare valvular abnormality and generally associated with mitral stenosis in cases of rheumatic heart disease. TS is now frequently being described in the setting of permanent pacemaker leads, either with or without the presence of infective endocarditis. We describe a case of a female with TS secondary to permanent pacemaker leads in the absence of infective endocarditis being managed during the pre-conception period. She initially had a balloon valvuloplasty done for moderate to severe TS and subsequently conceived and delivered without complications. However, upon being evaluated before her second pregnancy, she was again found to have severe TS. We hypothesize that the presence of permanent pacemaker lead contributed to the development of early restenosis after the first procedure. A repeat balloon valvuloplasty was unsuccessful and she ultimately underwent successful tricuspid valve replacement with no echocardiographic or clinical signs of restenosis years later. The options for management of TS secondary to permanent pacemaker lead include medical management, balloon valvuloplasty (with or without removal of pacemaker lead), or tricuspid valve replacement. Overall, there is a scarcity of data on long-term outcomes of either option making the management challenging.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.344
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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