Evidence map›Paper›PMID 40092885›Full record

ArticleBioinformation2024

The clinical relevance of grip strength: A narrative exploration.

Swati Tapaswi Kanna, Shivangi Saxena, Reema Reji, Rishabh Jain, Ruchi Kothari, Mayur Wanjari, Ravi Sangoi, Krisha Jain

Abstract read
In one paragraph

Article in Bioinformation, 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Swati Tapaswi KannaDepartment of Medicine, Royal Albert Edward Infirmary, Wigan, United Kingdom.
Shivangi SaxenaDepartment of Medicine, Rajarajeshwari Medical College and Hospital, India.
Reema RejiDepartment of Paediatrics, KM Cherian Institute of Medical Sciences, Kallissery, Chengannur, India.
Rishabh JainDepartment of Internal Medicine, JSS Medical College, Mysore, India.
Ruchi KothariDepartment of Physiology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.
Mayur WanjariDepartment of Research, Datta Meghe Institute of Higher Education & Research (DMIHER), Sawangi, Maharashtra, India.
Ravi SangoiDepartment of Internal Medicine, Government Medical College, Baramati, India.
Krisha JainDepartment of Internal Medicine, Government Medical College, Baramati, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand grip strength (HGS) is a well-established measure of musculoskeletal function and integrity of the upper limb. Traditionally used in rehabilitation, its utility extends too many clinical conditions in primary care practice. Therefore, it is of interest to explore the diverse applications of HGS in medical practice. In osteoporosis, HGS predicts bone density and risk of fracture. In osteoarthritis, it serves as a benchmark for functional impairment. As a nutritional marker, HGS reflects malnutrition and predicts postoperative outcomes. In metabolic syndrome and chronic diseases, HGS relates to conditions like diabetes, hypertension and cardiovascular risk. Further, additional values of HGS are in the oncology field in evaluating nutritional status and survival in patients with cancer. Its relevance in kidney diseases and conditions such as carpal tunnel syndrome further supports its broad clinical utility. Particularly, it has highlighted the potential which HGS may possess as simple yet effective means for evaluating health and guiding interventions across diverse clinical scenarios.

Indexed as

diabetesHand Grip Strength (HGS)isometric strengthmetabolic syndromerehabilitationupper limb

Identifiers

PMID40092885
PMCPMC11904153

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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.