ArticleAIDS research and human retroviruses2020
Short Communication: Comparison of Calculated Low-Density Lipoprotein Cholesterol (LDL-C) Values in HIV-Infected and HIV-Uninfected Men Using the Traditional Friedewald and the Novel Martin-Hopkins LDL-C Equations.
Article in AIDS research and human retroviruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed, 7 citations in OpenAlex.
- Comparison of low-density lipoprotein cholesterol equations in patients with dyslipidaemia receiving cholesterol ester transfer protein inhibition.European heart journal. Cardiovascular pharmacotherapy · 2023Trial
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The Martin-Hopkins equation used to calculate low-density lipoprotein cholesterol (LDL-C) is more accurate than the traditional Friedewald equation, especially at higher triglyceride levels, which are more common in people with HIV (PWH). Thus, using LDL-C values calculated by the Martin-Hopkins equation may improve clinical care of PWH.
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Registered trials
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.