Evidence map›Paper›PMID 28058034›Full record

ArticleClinical pharmacology : advances and applications2017

Retrospective analysis of the effects of a highly standardized mixture of

Francesco Di Pierro, Pietro Putignano, Tarcisio Ferrara, Carmela Raiola, Giuliana Rapacioli, Nicola Villanova

Open access · goldAbstract read
In one paragraph

Article in Clinical pharmacology : advances and applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Phytopharmacology and Clinical Updates ofFrontiers in pharmacology · 2020
    Review
  6. 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

6 authors at 3 institutions in 1 country.

Francesco Di PierroScientific Department, Velleja Research, Milan, Italy.
Pietro PutignanoOutpatient Diabetic Clinic, University Hospital San Gerardo, Monza, Italy.
Tarcisio FerraraDistrict 63, Cava de' Tirreni-Costa d'Amalfi, Salerno, Italy.
Carmela RaiolaOutpatient Clinic "Ordine di Malta", Naples, Italy.
Giuliana RapacioliAIOR, Piacenza, Italy.
Nicola VillanovaMetabolic Disorders, S. Orsola Malpighi Hospital, Bologna, Italy.
Azienda Ospedaliera San Gerardo · ITPoliclinico S.Orsola-Malpighi · ITVelleja Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

aimThe effects of a cholesterol-lowering supplement (Berberol

methodsThe clinical role of BSM in naïve and in statin-intolerant patients was retrospectively evaluated and the effects observed were compared with those obtained in patients without treatment or treated with lovastatin.

resultsTotal cholesterol, low density lipoprotein, and triglyceride levels were approximately 4%, 6%, and 11% lower, respectively, and the creatine phosphokinase increase was reduced in patients treated with BSM compared to those treated with lovastatin. Similar results were also obtained in statin-intolerant subjects where BSM was administered as add-on therapy to ezetimibe or fenofibrate.

conclusionBSM is a food supplement potentially useful 1) as a primary intervention in low-cardiovascular-risk subjects with dyslipidemia; 2) as add-on therapy in mildly statin-intolerant patients; and 3) in dyslipidemic patients with a negative perception of statins who prefer a treatment seen as natural.

Indexed as

berberineBerberol®KcholesterolMonakopure™-K20Monascus purpureusP-glycoproteinsilymarintriglycerides

Identifiers

PMID28058034
PMCPMC5193364
OpenAlexW2566477537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.