Evidence map›Paper›PMID 41971456›Full record

ArticleJournal of testing and evaluation2026

Comparative Assessment of Two Nitinol Fatigue Datasets to Support Cardiovascular Medical Device Durability.

Jason D Weaver

Abstract read
In one paragraph

Article in Journal of testing and evaluation, 2026. 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

1 author.

Jason D WeaverDivision of Applied Mechanics, US Food and Drug Administration, WO 64 Room 3036, 10903 New Hampshire Ave., Silver Spring, MD 20993, USA.ORCID 0000-0003-4344-8772

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Comparisons of fatigue performance between datasets are relatively common practice, although there is not a standardized metric for conducting such analyses. In this work, two recently published nitinol fatigue datasets with relevance for cardiovascular medical devices are used to probe a range of comparative metrics. Results highlight the importance of selecting an appropriate metric as well as the importance of test planning as both can affect the final conclusion regarding the similarity of two datasets. Additionally, an unsuccessful attempt was made to predict high cycle fatigue strength based on low cycle (i.e., censored) fatigue data using a Coffin-Manson relation, which reinforces the importance of conducting fatigue tests to as many cycles as the intended device lifetime. Lessons learned from this set of analyses can inform future standards work as well as engineering practice.

Indexed as

Basquincardiovascular medical devicesCoffin-MansonfatigueKaplan-Meier

Identifiers

PMID41971456
PMCPMC13063156

What OpenQuestion holds

Textmetadata
LicenceTDM
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.