Evidence map›Paper›PMID 39372831›Full record

ArticleAACE clinical case reports

Treatment of Bisphosphonate-Associated Atypical Femur Fracture With a Combination of Teriparatide and a Novel Surgical Technique.

Aditi H Chincholi, Anna R Cooper, Jamie A Mullally

Abstract readCase Reports
In one paragraph

Article in AACE clinical case reports. 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
–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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Aditi H ChincholiDepartment of Endocrinology and Metabolism, Westchester Medical Center, Valhalla, New York.
Anna R CooperDepartment of Orthopedic Surgery, Westchester Medical Center, Valhalla, New York.
Jamie A MullallyDepartment of Endocrinology and Metabolism, Westchester Medical Center, Valhalla, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objective: Atypical femur fractures (AFFs) caused by long-term bisphosphonate use are associated with high rates of delayed healing and nonunion. Case Report: A 64-year-old woman with osteopenia on alendronate for 15 years sustained a displaced left AFF following a fall from standing height. Imaging showed an acute displaced transverse diaphyseal left femur fracture with lateral cortical thickening and beaking. She underwent an open reduction and internal fixation with insertion of a cephalomedullary nail placed in compression mode, utilizing a novel technique involving intraoperative removal of the endosteal hypertrophied cortical bone at the fracture site. Alendronate was stopped and teriparatide was initiated postoperatively. Radiographs at 3.5 months postsurgery showed evidence of normal fracture union with mature callus formation. Discussion: AFFs caused by prolonged bisphosphonate use have a high rate of delayed healing and nonunion due to abnormal bone remodeling. Use of teriparatide postoperatively has been shown to reduce healing time in small observational studies in surgically treated patients. Our case demonstrates an expedited healing time of 3.5 months using teriparatide combined with a novel surgical technique involving removal of a portion of the abnormally remodeled bone and placement of an intramedullary nail in compression mode. Conclusion: Our case demonstrates an expedited healing time of 3.5 months compared to the average reported healing time for AFF of 10.7 months, supporting the use of the combination of teriparatide and a novel surgical technique.

Indexed as

atypical femur fracturebisphosphonatesnovel surgical techniqueteriparatide

Identifiers

PMID39372831
PMCPMC11447537

What OpenQuestion holds

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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 OpenQuestion graph.