Evidence map›Paper›PMID 41682547›Full record

ArticleSensors (Basel, Switzerland)2026

Convergent Validity of Step Counts Collected from a Smart Knee Implant and a Smartphone-Based Care Management Application: A 7861-Patient Study.

Jason Cholewa, Karl Surmacz, Roberta E Redfern, Mike B Anderson, Krishna Tripuraneni, Nicola S Piuzzi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jason CholewaZimmer Biomet, 1800 W. Center St., Warsaw, IN 46580, USA.
Karl SurmaczZimmer Biomet, 1800 W. Center St., Warsaw, IN 46580, USA.
Roberta E RedfernZimmer Biomet, 1800 W. Center St., Warsaw, IN 46580, USA.
Mike B AndersonZimmer Biomet, 1800 W. Center St., Warsaw, IN 46580, USA.ORCID 0000-0002-5118-7798
Krishna TripuraneniNew Mexico Orthopaedic Associates, 2100 Blvd NE, Suite 410, Albuquerque, NM 87110, USA.
Nicola S PiuzziCleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.ORCID 0000-0003-3007-7538

Funding

Zimmer Biomet CSG2022-17TDS
6 · The paper itself

Abstract

introductionStep counts are increasingly used to assess mobility and track recovery following total knee arthroplasty (TKA). The purpose of this study was to assess the convergent validity of step count data captured by a smart implantable device (SID) in comparison with step counts derived from established, validated sensor-based technology.

methodsA secondary analysis of an anonymized commercial database (N = 7861, median age: 68, female: 59%, median BMI: 31.7) of patients who received an SID and used a digital care management application (App) with or without a smart watch. The SID recorded "qualified steps", defined as periods of walking for at least seven steps that met predefined acceleration and cadence thresholds between 7 am and 10 pm. The App collected total daily step counts via smartwatch and/or smartphone. Pearson correlations were calculated between SID and App data at 30, 90, and 180 days post-operative. Step counts at 30, 90, and 180 days post-operative were compared between groups with the Mann-Whitney U test. Statistical significance was assessed at

resultsStep counts increased throughout the recovery period as measured by all three devices. SID-captured fewer qualified steps than App-captured step counts from watch-wearers throughout the post-operative period (

conclusionsThe SID's qualified step metric demonstrated consistent, moderate, correlations with app-based step counts across 30, 90, and 180 days. While smartwatch-based tools recorded higher absolute step counts, both technologies reflected similar recovery trajectories.

Indexed as

Arthroplasty, Replacement, KneeSmartphoneWalkingAgedFemaleHumansMobile Applicationsdigital health monitoringpost-operative monitoringtotal knee arthroplasty

Identifiers

PMID41682547
PMCPMC12900155

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.