Evidence map›Paper›PMID 27804100›Full record

ArticleDrug safety - case reports2016

Rhabdomyolysis After Coadministration of Atorvastatin and Sacubitril/Valsartan (Entresto™) in a 63-Year-Old Woman.

Eve S Faber, Madhavi Gavini, Ronald Ramirez, Richard Sadovsky

Open access · hybridAbstract read
In one paragraph

Article in Drug safety - case reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Eve S FaberDepartment of Family Medicine, SUNY-Downstate Medical Center, 450 Clarkson Avenue, Suite B, Brooklyn, NY, 11203, USA. Eve.faber@downstate.edu.
Madhavi GaviniDepartment of Family Medicine, SUNY-Downstate Medical Center, 450 Clarkson Avenue, Suite B, Brooklyn, NY, 11203, USA.
Ronald RamirezDepartment of Family Medicine, SUNY-Downstate Medical Center, 450 Clarkson Avenue, Suite B, Brooklyn, NY, 11203, USA.
Richard SadovskyDepartment of Family Medicine, SUNY-Downstate Medical Center, 450 Clarkson Avenue, Suite B, Brooklyn, NY, 11203, USA.
SUNY Downstate Health Sciences University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 63-year-old woman previously stable on a regimen of atorvastatin 40 mg daily, carvedilol 25 mg twice daily, digoxin 0.125 mg daily, furosemide 40 mg daily, spironolactone 25 mg daily, rivaroxaban 15 mg daily, and enalapril 20 mg twice daily for heart failure developed rhabdomyolysis 26 days after enalapril was stopped and sacubitril/valsartan (Entresto™) started. The patient received sacubitril/valsartan at 24/26 mg twice daily for heart failure; however, after 26 days she developed muscle and skin pain. Investigations revealed elevated creatine kinase and liver function tests, and rhabdomyolysis with raised transaminases was diagnosed. Sacubitril/valsartan and atorvastatin were discontinued and the patient was hydrated. She returned to baseline in 23 days and has not had any reoccurrence of rhabdomyolysis and elevated transaminases for 46 days. A Naranjo assessment score of 5 was obtained, indicating a probable relationship between the patient's rhabdomyolysis and her use of sacubitril/valsartan. The Drug Interaction Probability Scale score was 3, consistent with a possible interaction as a cause for the reaction, with sacubitril/valsartan as the precipitant drug and atorvastatin as the object drug.

Identifiers

PMID27804100
PMCPMC5089965
OpenAlexW2548315147

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.