Evidence map›Paper›PMID 27932789›Full record

ArticleExperimental & molecular medicine2016

The maintenance ability and Ca

Mei Huang, Keon Jin Lee, Kyung-Jin Kim, Mi Kyoung Ahn, Chung-Hyun Cho, Do Han Kim, Eun Hui Lee

Open access · goldAbstract read
In one paragraph

Article in Experimental & molecular medicine, 2016. 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
0.5field-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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  7. STIM2 regulates both intracellular CaScientific reports · 2017
    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 at 3 institutions in 1 country.

Mei HuangDepartment of Physiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-0117-8604
Keon Jin LeeDepartment of Physiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kyung-Jin KimDepartment of Pharmacology, College of Medicine, Seoul National University, Seoul, Republic of Korea.
Mi Kyoung AhnDepartment of Physiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Chung-Hyun ChoDepartment of Pharmacology, College of Medicine, Seoul National University, Seoul, Republic of Korea.
Do Han KimSchool of Life Sciences and Systems Biology Research Center, Gwangju Institute of Science and Technology, Gwangju, Korea.
Eun Hui LeeDepartment of Physiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Catholic University of Korea · KRSeoul National University · KRGwangju Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sildenafil relaxes vascular smooth muscle cells and is used to treat pulmonary artery hypertension as well as erectile dysfunction. However, the effectiveness of sildenafil on skeletal muscle and the benefit of its clinical use have been controversial, and most studies focus primarily on tissues and organs from disease models without cellular examination. Here, the effects of sildenafil on skeletal muscle at the cellular level were examined using mouse primary skeletal myoblasts (the proliferative form of skeletal muscle stem cells) and myotubes, along with single-cell Ca

Indexed as

AnimalsCalciumCations, DivalentCell ProliferationCells, CulturedMiceMuscle Fibers, SkeletalMuscle, SkeletalMyoblastsSildenafil CitrateVasodilator AgentsCalciumCations, DivalentSildenafil CitrateVasodilator Agents

Identifiers

PMID27932789
PMCPMC5192075
OpenAlexW2560658553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.