Evidence map›Paper›PMID 35954552›Full record

ArticleInternational journal of environmental research and public health2022

Influence of Menstrual Cycle on Leukocyte Response Following Exercise-Induced Muscle Damage.

Akiko Funaki, Hyunjun Gam, Tomoka Matsuda, Akira Ishikawa, Mizuki Yamada, Nodoka Ikegami, Yuriko Nishikawa, Mikako Sakamaki-Sunaga

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

8 authors at 5 institutions in 2 countries.

Akiko FunakiDepartment of Judo Therapy, Teikyo University of Science, Yamanashi 409-0193, Japan.ORCID 0000-0002-3637-0383
Hyunjun GamGraduate School, Yong In University, Yongin 17092, Korea.ORCID 0000-0002-7644-8341
Tomoka MatsudaDepartment of Sport Science and Research, Japan Institute of Sports Sciences, Tokyo 118-0056, Japan.ORCID 0000-0001-5175-5655
Akira IshikawaGraduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.ORCID 0000-0001-7104-1342
Mizuki YamadaGraduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Nodoka IkegamiDepartment of Exercise Physiology, Nippon Sport Science University, Tokyo 158-8508, Japan.
Yuriko NishikawaDepartment of Exercise Physiology, Nippon Sport Science University, Tokyo 158-8508, Japan.
Mikako Sakamaki-SunagaDepartment of Exercise Physiology, Nippon Sport Science University, Tokyo 158-8508, Japan.ORCID 0000-0002-3317-8767
Nippon Sport Science University · JPJapan Society for the Promotion of Science · JPJapan Sport Council · JPTeikyo University of Science · JPYong In University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the influence of the menstrual cycle (MC) on leukocyte response after exercise-induced muscle damage (EIMD). During the early follicular (E-FP,

Indexed as

Muscle, SkeletalProgesteroneBiomarkersCreatine KinaseFemaleHumansLeukocytesMenstrual CycleBiomarkersCreatine KinaseProgesteronecreatine kinaseeccentric exercisefemaleinflammationneutrophilovarian hormoneprogesterone

Identifiers

PMID35954552
PMCPMC9368082
OpenAlexW4288068192

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.