In one paragraphArticle in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Nae Yoon KangDepartment of Rehabilitation Medicine, School of Medicine, Pusan National University, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea.ORCID 0000-0002-3840-4727 Sung-Hwa KoDepartment of Rehabilitation Medicine, School of Medicine, Pusan National University, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea.ORCID 0000-0003-4900-5972 Yong-Il ShinDepartment of Rehabilitation Medicine, School of Medicine, Pusan National University, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea.ORCID 0000-0001-7894-0930 Ji Hong MinDepartment of Rehabilitation Medicine, School of Medicine, Pusan National University, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea.ORCID 0000-0002-2097-9194 Mi Sook YunDivision of Biostatistics, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea.
Min Kyun SohnDepartment of Rehabilitation Medicine, School of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea.ORCID 0000-0002-2548-545X Jongmin LeeDepartment of Rehabilitation Medicine, School of Medicine, Konkuk University, Seoul 05029, Republic of Korea.ORCID 0000-0001-8718-0099 Deog Young KimDepartment and Research Institute of Rehabilitation Medicine, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0001-7622-6311 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, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea.
So Young LeeDepartment of Rehabilitation Medicine, School of Medicine, Jeju National University, 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 HanDepartment of Statistics, Hallym University, Chuncheon 24252, Republic of Korea.
Jeonghoon AhnDepartment of Health Convergence, Ewha Womans University, Seoul 03760, Republic of Korea.
Yun-Hee KimDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular and Stroke Institute, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea.
Won Hyuk ChangDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular and Stroke Institute, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea.ORCID 0000-0002-4969-7895 Funding
Korea Disease Control and Prevention Agency 2012: 3300-3334-300- 260-00, 2013: 2013-E33017-00, 2014: 2013E-33017-01, 2015: 2013E- 33017-02, 2016: 2016-E33003-00, 2017: 2016-E33003-01, 2018: 2016- E33003-02, 2019: 2019-E3202-00, 2020: 2019-E3202-01, 2021: 2019- E3202-02, 2022: 2022-11-006, 2023: 202
6 · The paper itselfAbstract
Many physical factors influence post-stroke functional outcomes. However, few studies have examined the influence of height on these outcomes. Here, data from the Korean Stroke Cohort for Functioning and Rehabilitation were used and patients' height was categorized into three groups: short (lower 25%), middle (middle 50%), and tall (upper 25%). Differences in the modified Rankin scale (mRS), functional ambulatory category (FAC), and Korean-translated version of the Modified Barthel Index (K-MBI) scores were analyzed for each group at 6 months post-stroke. A subgroup analysis was conducted based on the initial Fugl-Meyer Assessment (FMA) score. We analyzed functional outcomes in 5296 patients at 6 months post-stroke, adjusting for age and body mass index. The short-height group exhibited higher mRS scores (1.88 ± 0.043), lower FAC scores (3.74 ± 0.045), and lower K-MBI scores (82.83 ± 0.748) than the other height groups (
Indexed as
activities of daily livingdisabilityfunctional outcomesheightpost-stroke recoverystroke rehabilitation
Identifiers
PMID38929831
PMCPMC11204573
What Socratic holds
Textmetadata
LicenceCC BY
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