Evidence map›Paper›PMID 33681429›Full record

ArticleBone reports2021

Improvements in radiographic and clinical assessment of distal radius fracture healing by FE-estimated bone stiffness.

Phillip J C Spanswick, Danielle E Whittier, Cory Kwong, Robert Korley, Steven K Boyd, Prism S Schneider

Open access · goldAbstract read
In one paragraph

Article in Bone reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Structural alterations during fracture healing lead to void spaces developing in surrounding bone microarchitecture.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  2. Review
  3. Article
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 at 2 institutions in 1 country.

Phillip J C SpanswickDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Danielle E WhittierDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Cory KwongDepartment of Surgery, Division of Orthopaedic Trauma, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Robert KorleyDepartment of Surgery, Division of Orthopaedic Trauma, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Steven K BoydDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Prism S SchneiderDepartment of Surgery, Division of Orthopaedic Trauma, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
University of Calgary · CAAlberta Bone and Joint Health Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone strength determined from finite element (FE) modelling provides an estimate of fracture healing progression following a distal radius fracture (DRF), but how these measures relate to patient-reported outcomes and functional outcomes remains unknown. We hypothesized that changes in bone stiffness and bone mineral density measured using high-resolution peripheral quantitative computed tomography (HR-pQCT) are associated with clinically available measures of functional and patient-reported outcomes. We also aimed to identify which clinical outcome measures best predict fracture stiffness and could therefore be used to inform cast removal. Participants (

Indexed as

Clinical evaluationDistal radiusFinite element analysisFracture healingHr-pQCT

Identifiers

PMID33681429
PMCPMC7910405
OpenAlexW3123488785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.