Evidence map›Paper›PMID 31803328›Full record

ArticleJournal of clinical medicine research2019

Skeletal Muscle Index at Intensive Care Unit Admission Is a Predictor of Intensive Care Unit-Acquired Weakness in Patients With Sepsis.

Yuta Mitobe, Shinichiro Morishita, Kazuki Ohashi, Sayuri Sakai, Mieko Uchiyama, Hansani Abeywickrama, Etsuko Yamada, Yuko Kikuchi, Masakazu Nitta, Tadayuki Honda and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Review
  2. Molecular medicine reports · 2026
    Article
  3. Article
  4. Article
  5. Perme Score and Machine Learning for Detecting ICU-acquired Weakness: A Prospective Observational Cohort Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  6. Review
  7. Article
  8. Review
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  20. Approach to critical illness myopathy and polyneuropathy in the older SARS-CoV-2 patients.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2020
    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

14 authors.

Yuta MitobeDepartment of Nursing, Faculty of Medical Technology, Teikyo University, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan.
Shinichiro MorishitaDepartment of Physical Therapy, Niigata University of Health and Welfare, Shimami-cho 1398, Kita-ku, Niigata 950-3198, Japan.
Kazuki OhashiDepartment of Nursing, Sapporo University of Health Science, 2-1-15, Nakanumanishi 4-jo, Sapporo Shi Higashi Ku, Hokkaido 007-0894, Japan.
Sayuri SakaiDepartment of Nursing, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi, Niigata, Niigata 951-8518, Japan.
Mieko UchiyamaDepartment of Nursing, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi, Niigata, Niigata 951-8518, Japan.
Hansani AbeywickramaDepartment of Nursing, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi, Niigata, Niigata 951-8518, Japan.
Etsuko YamadaDepartment of Nursing, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi, Niigata, Niigata 951-8518, Japan.
Yuko KikuchiDepartment of Nursing, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi, Niigata, Niigata 951-8518, Japan.
Masakazu NittaAdvanced Emergency and Critical Care Center, Niigata University Medical and Dental Hospital, 1-754 Asahimachi, Niigata, Niigata 951-8520, Japan.
Tadayuki HondaDivision of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi, Niigata, Niigata 951-8510, Japan.
Hiroshi EndohDivision of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi, Niigata, Niigata 951-8510, Japan.
Shinji KimuraRehabilitation Center, Niigata University Medical and Dental Hospital, 1-754 Asahimachi, Niigata, Niigata 951-8520, Japan.
Shuhei SakanoRehabilitation Center, Niigata University Medical and Dental Hospital, 1-754 Asahimachi, Niigata, Niigata 951-8520, Japan.
Yu KoyamaDepartment of Nursing, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi, Niigata, Niigata 951-8518, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensive care unit-acquired weakness (ICU-AW) can be diagnosed using the Medical Research Council (MRC) score. However, such scoring may not be possible in ICU patients who may be sedated or delirious or have encephalopathy. Currently, a quantitative assessment of the cross-sectional area of the muscle is available to assess changes in skeletal muscle mass using computed tomography (CT) images. This assessment calculates the skeletal muscle index (SMI) (cm

methodsWe examined septic ICU patients admitted to the Niigata University Hospital ICU during 2012 - 2017 under mechanical ventilation. Patients were retrospectively divided into two groups by MRC score at ICU discharge: group AW comprised patients with an MRC score < 48, and group non-AW (NAW) comprised the remaining patients. Clinicopathological factors at ICU admission such as age, gender, underlying disease, body mass index, and SMI were compared between the two groups. Statistical analyses were performed using the Mann-Whitney U test, Fisher's exact test, receiver operator characteristic (ROC) analysis and multivariate analysis.

resultsA total of 31 septic patients were examined, and 23 patients met the criteria for ICU-AW. The prevalence of women was significantly higher in group AW (P < 0.05). All clinical factors, except for gender, were not significantly different between the two groups. SMI was significantly lower in group AW than in group NAW (P < 0.05). ROC analysis revealed that the cut-off value of SMI for predicting ICU-AW was 44.1, and the multivariate analysis revealed that only low SMI was a significant factor in predicting ICU-AW (P < 0.05).

conclusionsOur results show that SMI measurement at ICU admission is a valid predictive factor for ICU-AW progression in septic patients.

Indexed as

Computed tomographyIntensive care unit-acquired weaknessSepsisSkeletal muscle index

Identifiers

PMID31803328
PMCPMC6879036

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