Evidence mapPaperPMID 38499608Full record

ArticleNPJ digital medicine2024

Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels.

Hana Bangash, Seyedmohammad Saadatagah, Mohammadreza Naderian, Marwan E Hamed, Lubna Alhalabi, Alborz Sherafati, Joseph Sutton, Omar Elsekaily, Ali Mir, Justin H Gundelach and 7 more

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2024. 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
4.6field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

17 authors at 3 institutions in 1 country.

Hana BangashDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-2552-9499
Seyedmohammad SaadatagahDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Mohammadreza NaderianDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Marwan E HamedDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-1299-9969
Lubna AlhalabiDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Alborz SherafatiDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Joseph SuttonDepartment of Information Technology, Mayo Clinic, Rochester, MN, USA.
Omar ElsekailyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Ali MirDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Justin H GundelachDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-7347-0511
Daniel GibbonsDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Paul JohnsenDepartment of Information Technology, Mayo Clinic, Rochester, MN, USA.
Christina M Wood-WentzDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-4561-4404
Carin Y SmithDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Pedro J CaraballoDepartment of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-9050-7080
Kent R BaileyDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. kullo.iftikhar@mayo.edu.ORCID http://orcid.org/0000-0002-6524-3471
Mayo Clinic in Arizona · USMayo Clinic in Florida · USMayo Clinic · US

Funding

EHR-based Genomic Discovery and Implementation [Funded Extension]U01HG006379 · MAYO CLINIC ROCHESTER · 2025 to 2025
$724k
NHGRI NIH HHS U01 HG006379NHLBI NIH HHS K24 HL137010NHLBI NIH HHS R01 HL135879
6 · The paper itself

Abstract

Severe hypercholesterolemia/possible familial hypercholesterolemia (FH) is relatively common but underdiagnosed and undertreated. We investigated whether implementing clinical decision support (CDS) was associated with lower low-density lipoprotein cholesterol (LDL-C) in patients with severe hypercholesterolemia/possible FH (LDL-C ≥ 190 mg/dL). As part of a pre-post implementation study, a CDS alert was deployed in the electronic health record (EHR) in a large health system comprising 3 main sites, 16 hospitals and 53 clinics. Data were collected for 3 months before ('silent mode') and after ('active mode') its implementation. Clinicians were only able to view the alert in the EHR during active mode. We matched individuals 1:1 in both modes, based on age, sex, and baseline lipid lowering therapy (LLT). The primary outcome was difference in LDL-C between the two groups and the secondary outcome was initiation/intensification of LLT after alert trigger. We identified 800 matched patients in each mode (mean ± SD age 56.1 ± 11.8 y vs. 55.9 ± 11.8 y; 36.0% male in both groups; mean ± SD initial LDL-C 211.3 ± 27.4 mg/dL vs. 209.8 ± 23.9 mg/dL; 11.2% on LLT at baseline in each group). LDL-C levels were 6.6 mg/dL lower (95% CI, -10.7 to -2.5; P = 0.002) in active vs. silent mode. The odds of high-intensity statin use (OR, 1.78; 95% CI, 1.41-2.23; P < 0.001) and LLT initiation/intensification (OR, 1.30, 95% CI, 1.06-1.58, P = 0.01) were higher in active vs. silent mode. Implementation of a CDS was associated with lowering of LDL-C levels in patients with severe hypercholesterolemia/possible FH, likely due to higher rates of clinician led LLT initiation/intensification.

Identifiers

PMID38499608
PMCPMC10948900
OpenAlexW4392910687

What Socratic holds

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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 Socratic graph.