Evidence map›Paper›PMID 39458457›Full record

ArticleNutrients2024

The Significance of an Initial Controlling Nutritional Status Score in Predicting the Functional Outcome, Complications, and Mortality in a First-Ever Ischemic Stroke.

Hyoseon Choi, Yea Jin Jo, Min Kyun Sohn, Jongmin Lee, Yong-Il Shin, Gyung-Jae Oh, Yang-Soo Lee, Min Cheol Joo, So Young Lee, Min-Keun Song and 6 more

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

16 authors.

Hyoseon ChoiDepartment of Rehabilitation Medicine, Nowon Eulji Medical Center, Eulji University, Seoul 01830, Republic of Korea.ORCID 0000-0002-2781-2557
Yea Jin JoDepartment of Exercise Rehabilitation & Welfare, Gachon University, 191, Hambangmore-ro, Yeonsu-gu, Incheon 21936, Republic of Korea.ORCID 0000-0002-6947-4250
Min Kyun SohnDepartment of Rehabilitation Medicine, College of Medicine, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0002-2548-545X
Jongmin LeeDepartment of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.ORCID 0000-0001-8718-0099
Yong-Il ShinDepartment of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea.ORCID 0000-0001-7894-0930
Gyung-Jae OhDepartment of Preventive Medicine, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea.
Yang-Soo LeeDepartment of Rehabilitation Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu 41944, Republic of Korea.ORCID 0000-0002-8855-1231
Min Cheol JooDepartment of Rehabilitation Medicine, Wonkwang University School of Medicine, Iksan 54538, Republic of Korea.
So Young LeeDepartment of Rehabilitation Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju 63241, Republic of Korea.
Min-Keun SongDepartment of Physical and Rehabilitation Medicine, Chonnam National University Medical School, Gwangju 61469, Republic of Korea.ORCID 0000-0001-8186-5345
Junhee HanDivision of Data Science and Data Science Convergence Research Center, Hallym University, Chuncheon 24252, Republic of Korea.
Jeonghoon AhnDepartment of Health Convergence, Ewha Womans University, Seoul 03760, Republic of Korea.ORCID 0000-0002-0177-0192
Young-Hoon LeeDepartment of Preventive Medicine, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea.
Yun-Hee KimDepartment of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea.
Won Hyuk ChangDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.ORCID 0000-0002-4969-7895
Deog Young KimDepartment of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0001-7622-6311

Funding

the Research Program funded by the Korea Disease Control and Prevention Agency [3300-3334-300-260-00; 2013-E33017-00; 2013E-33017-01; 2013E-33017-02; 2016-E33003-00; 2016-E33003-01; 2016-E33003-02; 2019-E3202-00; 2019-E3202-01; 2019-E3202-02, 2022-11-006]
6 · The paper itself

Abstract

background and purposeNutritional status can influence the outcomes and mortality of various diseases. The association between initial nutritional status and ischemic stroke outcomes, however, remains poorly understood. This study investigated whether the Controlling Nutritional Status (CONUT) score at admission could predict functional recovery, complications, and survival following an ischemic stroke.

methodsWe enrolled a total of 938 patients experiencing their first acute ischemic stroke and categorized them into three groups based on their CONUT score at admission: CONUT 0-1, CONUT 2-4, and CONUT 5-12. The CONUT score was assessed using the serum albumin, total cholesterol, and lymphocyte count. We evaluated the incidence of complications during their hospital stay. Outcomes, including the Modified Rankin Scale (mRS), Functional Independence Measurement (FIM), Functional Ambulatory Classification (FAC), and mortality, were assessed at baseline, as well as at three and six months post-stroke.

resultsCONUT scores were significantly associated with functional outcomes (mRS, FIM, and FAC) and mortality during the six-month follow-up period post-stroke (all

conclusionsCONUT scores at admission are associated with functional recovery, mortality, and the incidence of complications following a first-ever ischemic stroke. Consequently, the early identification of patients at risk of malnutrition via CONUT scores can be crucial in enhancing patient assessment after an acute stroke.

Indexed as

Ischemic StrokeNutritional StatusAgedAged, 80 and overFemaleFunctional StatusHumansMaleMiddle AgedNutrition AssessmentPrognosisRecovery of FunctionSerum AlbuminSerum Albumincerebral infarctionfunctional recoverynutritional statusstrokesurvival

Identifiers

PMID39458457
PMCPMC11509889

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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.