Evidence map›Paper›PMID 35822161›Full record

ArticleScanning2022

Magnetic Resonance Imaging Assessment of Fatigue Injury during Exercise.

Zhengguo Ai, Na Li, Jing An, Lei Zhang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Scanning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Zhengguo AiSchool of Sport Economics and Management, Tianjin University of Sport, Tianjin 301617, China.ORCID https://orcid.org/0000-0003-3923-0623
Na LiDaqing Oilfield General Hospital, Daqing, Heilongjiang 163700, China.ORCID https://orcid.org/0000-0002-9106-7483
Jing AnSection of Recruitment and Employment, Harbin Sport University, Harbin, Heilongjiang 150008, China.ORCID https://orcid.org/0000-0002-6492-0848
Lei ZhangDepartment of Physical Education, Heilongjiang Institute of Technology, Harbin, Heilongjiang 150050, China.ORCID https://orcid.org/0000-0001-6929-1967
Daqing Oilfield General Hospital · CNHarbin University · CNHeilongjiang Institute of Technology · CNTianjin University of Sport · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to investigate the changes of temporal function metabolism of lumbar and back muscles after exercise, a magnetic resonance imaging- (MRI-) based assessment of fatigue injury during exercise was proposed. A total of 100 healthy adult volunteers were selected, including 48 males and 52 females, aged from 19 to 30 years, with an average age of 24.8 + 2.3 years. They were divided into four groups according to the different time points of 0, 15, 30, and 45 minutes after exercise, with 25 persons in each group. PHILIPS Achieva 3.0 T Tx MRI scanner was used to perform BOLD and T2-mapping before and after exercise in four groups of healthy volunteers. All data were analyzed by statistical software. The results showed that the total CSA of the dorsi extensor muscle group and the CSA value of the dorsi extensor muscle group at different levels at different time points before and after exercise increased slowly in exercise period and decreased rapidly in recovery period. It was verified that BOLD MRI and T2-mapping imaging can indirectly evaluate the trend of CSA water metabolism and blood oxygen level in healthy adults after exercise.

Indexed as

ExerciseMagnetic Resonance ImagingAdultFatigueFemaleHealthy VolunteersHumansMaleMuscle, SkeletalYoung Adult

Identifiers

PMID35822161
PMCPMC9225872
OpenAlexW4283019573

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.