Evidence map›Paper›PMID 35363148›Full record

ArticleJMIR formative research2022

An Evaluation of Real-world Smart Sock-Based Temperature Monitoring Data as a Physiological Indicator of Early Diabetic Foot Injury: Case-Control Study.

Alexander M Reyzelman, Chia-Ding Shih, Gregory Tovmassian, Mohan Nathan, Ran Ma, Henk Jan Scholten, Kara Malhotra, David G Armstrong

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Alexander M ReyzelmanCalifornia School of Podiatric Medicine, Samuel Merritt University, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2642-6184
Chia-Ding ShihCalifornia School of Podiatric Medicine, Samuel Merritt University, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-9203-1899
Gregory TovmassianCalifornia School of Podiatric Medicine, Samuel Merritt University, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-5368-1095
Mohan Nathan *Siren Care Inc, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-8958-3246
Ran MaSiren Care Inc, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-3958-2952
Henk Jan ScholtenSiren Care Inc, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2758-1768
Kara MalhotraSiren Care Inc, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2103-1215
David G ArmstrongDepartment of Surgery, Southwestern Academic Limb Salvage Alliance, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0003-1887-9175
Samuel Merritt University · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower extremity complications of diabetes represent major health care complications both in terms of cost and impact to quality of life for patients with diabetic peripheral neuropathy. Temperature monitoring has been shown in previous studies to provide a useful signal of inflammation that may indicate the early presence of a foot injury.

objectiveIn this study, we evaluated the temperature data for patients that presented with a diabetic foot injury while using a sock-based remote temperature monitoring device.

methodsThe study abstracted data from patients who were enrolled in a remote temperature monitoring program (2020-2021) using a smart sock (Siren Care). In the study cohort, a total of 5 participants with a diabetes-related lower extremity injury during the study period were identified. In the second comparison cohort, a total of 26 patients met the criteria for monitoring by the same methods but did not present with a diabetes-related podiatric lower extremity injury during the same period. The 15-day temperature differential between 6 defined locations on each foot was the primary outcome measure among subjects who presented with a diagnosed foot injury. Paired t tests were used to compare the differences between the two groups.

resultsA significant difference in temperature differential (temperature measured in °F) was observed in the group that presented with a podiatric injury over the course of evaluation versus the comparator group that did not present with a podiatric injury. The average difference from all 6 measured points was 1.4 °F between the injury group (mean 3.6, SD 3.0) and the comparator group (mean 2.2, SD 2.5, t=-71.4, df=39; P<.001).

conclusionsThe results of this study suggest temperature monitoring in a sock form factor could be used to predict a developing foot injury. The continuous temperature monitoring system employed has implications for further algorithm development to enable early detection. The study was limited by a nonrandomized, observational design with limited injuries present in the study period. We look forward to further studies that will refine the predictive potential and confirm or refute the current promising data.

Indexed as

Charcot footdiabetesdiabetic foot ulcerdigital healthfoot ulcermonitoring deviceneuropathypatient monitoringremote patient monitoringtemperature monitoringwearable

Identifiers

PMID35363148
PMCPMC9015780
OpenAlexW4210820758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.