Evidence map›Paper›PMID 36193819›Full record

ArticleEuropean journal of translational myology2022

New indexes for myofibril linearity in muscle image analysis.

Ettore Rocchi, Sara Peluso, Stefano Amatori, Davide Sisti

Open access · goldAbstract read
In one paragraph

Article in European journal of translational myology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Ettore RocchiIndependent researcher, Urbino. ettoreroc@gmail.com.
Sara PelusoIndependent researcher, Urbino. sarapeluso99@gmail.com.
Stefano AmatoriDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino. stefano.amatori1@uniurb.it.
Davide SistiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino. davide.sisti@uniurb.it.
University of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endeavor to evaluate the linearity of myofibrillar structures and their potential deviation from a straight line is a fascinating problem in muscle tissue image analysis. In this Letter, we suggest two different strategies for solving the same challenge. The first strategy is based on an alignment index, which could be derived by comparing the sum of the lengths of the individual sarcomeres with the distance between the "head" of the first and the "tail" of the last sarcomere. The second strategy relies on circular statistics, which takes a cue from an already suggested method. Our proposed methods are alternatives: the former has the advantage of simplicity; the latter is certainly more elegant and gives greater substance to statistical analysis, but in contrast, it also has greater computational complexity.

Identifiers

PMID36193819
PMCPMC9830398
OpenAlexW4301391587

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.