Evidence map›Paper›PMID 19506967›Full record

ArticleHSS journal : the musculoskeletal journal of Hospital for Special Surgery2009

Does shoe insole modification prevent stress fractures? A systematic review.

Rebecca A Snyder, Joseph P DeAngelis, Michael C Koester, Kurt P Spindler, Warren R Dunn

Open access · greenAbstract read
In one paragraph

Article in HSS journal : the musculoskeletal journal of Hospital for Special Surgery, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Rebecca A SnyderVanderbilt University School of Medicine, Nashville, TN, USA.
Joseph P DeAngelis
Michael C Koester
Kurt P Spindler
Warren R Dunn
Orthopedic Center · USVanderbilt University · USVanderbilt University Medical Center · US

Funding

A Multi-center Cohort Study of ACL Reconstruction OutcomesK23AR052392 · NIAMS · VANDERBILT UNIVERSITY · PI DUNN, WARREN R · 2006 to 2010
$605k
NIAMS NIH HHS K23 AR052392
6 · The paper itself

Abstract

Stress fractures can be debilitating in athletes and military personnel. Insoles may lower stress fracture rates by improving biomechanics, lessening fatigue, and attenuating impact. The objective of this study was to systematically review the best evidence on the use of insoles as a method of stress fracture prevention in a high-risk population. Using MEDLINE, Cochrane, Current Controlled Trials, UK National Research Register, ScienceDirect, CINAHL, and EMBASE, a review of randomized (level I) and quasi-randomized (level II) controlled trials was performed using an insole as the intervention and stress fracture incidence as the primary outcome measure. Five trials were included, and a random effects model was used to generate a summary estimate and an overall odds ratio. One study found a significant reduction in overall stress fracture incidence using a semirigid insole, while four studies found no overall reduction in military personnel. However, when the data are pooled, orthotic use was beneficial. When stratified by site, there was a reduction in femoral and tibial stress fracture incidence. Shoe insoles may reduce the overall femoral and tibial stress fracture incidence during military training. It is unclear if the use of insoles would prevent stress fractures in athletes. Additional studies are necessary to determine the efficacy of insoles in an athletic population.

Identifiers

PMID19506967
PMCPMC2744752
OpenAlexW1990299981

What OpenQuestion holds

Textmetadata
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.