Evidence map›Paper›PMID 34387116›Full record

Observational studyJournal of the American Heart Association2021

Association Between Patient Survival and Clinician Variability in Treatment Rates for Aortic Valve Stenosis.

J Matthew Brennan, Angela Lowenstern, Paige Sheridan, Isabel J Boero, Vinod H Thourani, Sreekanth Vemulapalli, Tracy Y Wang, Otto Liska, Stuart Gander, Jason Jager and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Disparities in Utilization of Advanced Structural Heart Cardiovascular Therapies.Journal of the Society for Cardiovascular Angiography & Interventions
    Article
  10. 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

12 authors at 5 institutions in 1 country.

J Matthew BrennanDuke Clinical Research Institute Duke University School of Medicine Durham NC.
Angela LowensternDuke Clinical Research Institute Duke University School of Medicine Durham NC.
Paige SheridanDepartment of Family Medicine and Public Health University of California, San Diego School of Medicine San Diego CA.
Isabel J BoeroBoston Consulting Group Boston MA.
Vinod H ThouraniDepartment of Cardiovascular Surgery Piedmont Heart Institute Atlanta GA.
Sreekanth VemulapalliDuke Clinical Research Institute Duke University School of Medicine Durham NC.
Tracy Y WangDuke Clinical Research Institute Duke University School of Medicine Durham NC.
Otto LiskaBoston Consulting Group Boston MA.
Stuart GanderBoston Consulting Group Boston MA.
Jason JagerBoston Consulting Group Boston MA.
Martin B LeonColumbia University Irving Medical Center and New York Presbyterian Hospital New York NY.
Eric D PetersonDuke Clinical Research Institute Duke University School of Medicine Durham NC.
Duke University · USBoston Consulting Group (United States)NewYork–Presbyterian Hospital · USPiedmont Atlanta Hospital · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Patients with symptomatic severe aortic stenosis (ssAS) have a high mortality risk and compromised quality of life. Surgical/transcatheter aortic valve replacement (AVR) is a Class I recommendation, but it is unclear if this recommendation is uniformly applied. We determined the impact of managing cardiologists on the likelihood of ssAS treatment. Methods and Results Using natural language processing of Optum electronic health records, we identified 26 438 patients with newly diagnosed ssAS (2011-2016). Multilevel, multivariable Fine-Gray competing risk models clustered by cardiologists were used to determine the impact of cardiologists on the likelihood of 1-year AVR treatment. Within 1 year of diagnosis, 35.6% of patients with ssAS received an AVR; however, rates varied widely among managing cardiologists (0%, lowest quartile; 100%, highest quartile [median, 29.6%; 25th-75th percentiles, 13.3%-47.0%]). The odds of receiving AVR varied >2-fold depending on the cardiologist (median odds ratio for AVR, 2.25; 95% CI, 2.14-2.36). Compared with patients with ssAS of cardiologists with the highest treatment rates, those treated by cardiologists with the lowest AVR rates experienced significantly higher 1-year mortality (lowest quartile, adjusted hazard ratio, 1.22, 95% CI, 1.13-1.33). Conclusions Overall AVR rates for ssAS were low, highlighting a potential challenge for ssAS management in the United States. Cardiologist AVR use varied substantially; patients treated by cardiologists with lower AVR rates had higher mortality rates than those treated by cardiologists with higher AVR rates.

Indexed as

AgedAged, 80 and overAortic Valve StenosisCardiologistsClinical Decision-MakingElectronic Health RecordsFemaleHeart Valve Prosthesis ImplantationHumansMaleMiddle AgedNatural Language ProcessingOutcome and Process Assessment, Health CarePractice Patterns, Physicians'Retrospective StudiesRisk Assessmentaortic valve replacementphysician variabilitysymptomatic severe aortic stenosis

Identifiers

PMID34387116
PMCPMC8475044
OpenAlexW3189007768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.