Evidence map›Paper›PMID 39281349›Full record

ArticleAmerican journal of preventive cardiology2024

Low prevalence of testing for apolipoprotein B and lipoprotein (a) in the real world.

Dana J Murdock, Keran Moll, Robert J Sanchez, Jing Gu, Sergio Fazio, Gregory P Geba, Fatima Rodriguez

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. ApoB is ready for prime time: A fellow's voice.American journal of preventive cardiology · 2025
    Article
  7. 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

7 authors.

Dana J MurdockRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).
Keran MollRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).
Robert J SanchezRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).
Jing GuRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).
Sergio FazioRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).
Gregory P GebaRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).
Fatima RodriguezRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA (Murdock, Moll, Sanchez, Gu, Fazio, Geba), Center for Academic Medicine, Department of Medicine/Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA (Rodriguez).

Funding

Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep LearningR01HL167974 · NHLBI · STANFORD UNIVERSITY · PI Imon Banerjee, Akshay Chaudhari · 2023 to 2026
$2.4M
Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES)R01HL168188 · NHLBI · STANFORD UNIVERSITY · PI Fatima Rodriguez · 2024 to 2026
$2.1M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607NHLBI NIH HHS R01 HL167974NHLBI NIH HHS R01 HL168188
6 · The paper itself

Abstract

Objective: Apolipoprotein B (ApoB) and lipoprotein (a) (Lp[a]) are predictors of cardiovascular disease (CVD) risk; therefore, current recommendations for CVD risk assessment and management advocate that patients receive testing for ApoB and Lp(a) in addition to the standard lipid panel. However, US guidelines around ApoB and Lp(a) testing have evolved over time and vary slightly by expert committee. The objective of this analysis was to estimate the number of insured individuals in the USA who received any component of a lipid test, or ApoB and/or Lp(a) testing, during 2019. Methods: We conducted a cross-sectional analysis to estimate the prevalence of any component of a lipid test, ApoB, and/or Lp(a) in the USA using four different claim data sources (including Medicaid, Medicare, and commercially insured enrollees). Prevalence estimates were age-, sex-, payor-, and region-standardized to the 2019 US Annual Social and Economic Supplement of the Current Population Survey. We also described the clinical profile of patients who received lipid testing between 2019 and 2021 (cohort analysis) in Optum claims database. Enrollees were grouped into four non-mutually exclusive cohorts based on their completion of any component of the lipid panel, ApoB, Lp(a), or ApoB and Lp(a). Results: In the prevalence cohort, over a third (38 %) of insured adults in the USA underwent testing for any component of a lipid panel in 2019. This proportion was higher for individuals aged ≥65 years compared to younger adults (62% vs 31 %). The proportion of ApoB and Lp(a) testing represented only <1 % of testing for any component of a lipid panel. In the cohort analysis, we found that lipid testing increased with age and comorbidities. Conclusion: These data should be considered by guideline-issuing agencies and organizations to develop education campaigns encouraging more frequent use of tests beyond the standard lipid panel.

Indexed as

Apolipoprotein BLipoprotein (a)Real-world evidence

Identifiers

PMID39281349
PMCPMC11399648

What OpenQuestion holds

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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.