Evidence map›Paper›PMID 39224125›Full record

Trial reportFrontiers in endocrinology2024

Effectiveness of foot skin protection technology in elderly patients with diabetic peripheral neuropathy.

Lin Zhou, Pin-Fang Song, Wen Qin, Qing Jia, Fei Miao, Jiao-Jiao Bai

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in endocrinology, 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

6 authors.

Lin Zhou *Department of Endocrine Ward, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Pin-Fang Song *Department of Nursing, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Wen QinDepartment of Geriatrics, Affiliated with Huadong Hospital of Fudan University, Shanghai, China.
Qing JiaDepartment of Nursing, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Fei MiaoDepartment of Dermatology, Affiliated Huadong Hospital, Fudan University, Shanghai, China.
Jiao-Jiao BaiDepartment of Nursing, Huadong Hospital Affiliated to Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study is to assess the effectiveness of foot skin protection technology in elderly patients with diabetic peripheral neuropathy. Methods: The foot skin protection technology was developed based on a comprehensive literature review and preliminary research conducted by our research team. Subsequently, 88 elderly patients with diabetic peripheral neuropathy and experiencing foot skin problems were recruited from two community health service centers in Shanghai. Using a random number table, the participants were randomly assigned to either the control group or the experimental group. Patients in the experimental group received foot skin protection technology interventions, while those in the control group received standard community nursing guidance for a duration of 3 months. The incidence, severity, and discomfort associated with foot skin problems were evaluated before and after the intervention period in both groups. Results: The incidence, severity, and discomfort of foot skin problems notably reduced in the experimental group (all Conclusion: The foot skin protection technology demonstrates significant potential in enhancing foot skin condition.

Indexed as

Diabetic FootDiabetic NeuropathiesAgedAged, 80 and overChinaFemaleFootHumansMaleMiddle Ageddiabetic footdiabetic peripheral neuropathyelderly diabetesnursingskin protection

Identifiers

PMID39224125
PMCPMC11367785

What OpenQuestion holds

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Registered trials

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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.