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ArticleActa bio-medica : Atenei Parmensis2017

Injuries of the trochanteric region: can analysis of radiographic indices help in prediction of recurrent osteoporotic hip fractures?

Andrea Pellegrini, Fabrizio Tacci, Massimiliano Leigheb, Cosimo Costantino, Alessio Pedrazzini, Giuseppe Pedrazzi, Enrico Vaienti, Francesco Ceccarelli, Francesco Pogliacomi

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Article in Acta bio-medica : Atenei Parmensis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Article
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  5. Evaluation of the effect of proximal femur geometry on results of geriatric intertrochanteric fracture surgery.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2022
    Article
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Andrea Pellegrini. fpogliacomi@yahoo.com.
Fabrizio Tacci
Massimiliano Leigheb
Cosimo Costantino
Alessio Pedrazzini
Giuseppe Pedrazzi
Enrico Vaienti
Francesco Ceccarelli
Francesco Pogliacomi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn a context of bone fragility, primitive and subsequent fractures are a growing problem in the industrialized countries where the mean age of the population is constantly increasing. Among the various factors that favor a fragility fracture, the most important is osteoporosis, a pathology that can be prevented through diagnostic screenings and treated by pharmacological and rehabilitative therapies. The aim of this study is to identify the subjects who are likely to have a higher risk of subsequent fractures of the trochanteric region through a retrospective radiographic evaluation of patients affected by low-energy trochanteric fractures and operated by intramedullary fixation between June 2013 and June 2015, so they can be targeted for prevention interventions. MATERIALS AND

methodsThree hundred and sixty-one patients yet alive were analyzed 2 years after surgery. Fifty-one (group 1), characterized by another contralateral trochanteric femoral fracture, were included. All subjects were retrospectively examined with the analysis of contralateral femur X-ray performed at the time of initial trauma in order to detect a condition of bone fragility and a predisposition to fractures by evaluating three radiographic indices (Singh index, Dorr's classification and Cortical Thickness Index). Patients of group 1 were compared to the other 310 patients (group 2) affected by isolated trochanteric fracture.

resultsGroup 1 had all radiographic indices worse than group 2.

conclusionsThe results observed suggest that orthopedists can use radiographic indices, in particular Cortical Thickness Index, as a valuable, simple and inexpensive screening tool for prevention of recurrent osteoporotic fractures.

Indexed as

AgedAged, 80 and overFemaleFemurHip FracturesHumansMaleOsteoporotic FracturesRecurrenceRetrospective Studiesosteoporosis, radiographic indices, bone mineral density, femoral fractures

Identifiers

PMID29083352
PMCPMC6357663

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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 OpenQuestion graph.