Evidence map›Paper›PMID 39276194›Full record

ReviewCurrent reviews in musculoskeletal medicine2024

Osteoporosis Management for Shoulder Surgeons.

Kelsey M Healy, Jacob Ritter, Emily Barr, Jessica L Churchill, Nicholas A Trasolini, Brian R Waterman, Alan W Reynolds

Abstract readReview
In one paragraph

Review in Current reviews in musculoskeletal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Kelsey M HealyDepartment of Orthopaedic Surgery and Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, USA.
Jacob RitterCampbell University School of Osteopathic Medicine, Lillington, USA.
Emily BarrDepartment of Orthopaedic Surgery and Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, USA.
Jessica L ChurchillDepartment of Orthopaedic Surgery, Denver Health, Denver, USA.
Nicholas A TrasoliniDepartment of Orthopaedic Surgery and Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, USA.
Brian R WatermanDepartment of Orthopaedic Surgery and Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, USA.
Alan W ReynoldsDepartment of Orthopaedic Surgery and Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, USA. alreynol@wakehealth.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe aim of this review is to aggregate currently available literature as it pertains to treating surgical shoulder pathology in patients with osteoporosis. RECENT

findingsEmerging data surrounding perioperative use of anti-osteoporosis medications for patients undergoing shoulder surgery have not shown definitively favorable or unfavorable outcomes. Similar evaluations in animal studies have shown promising results as a biologic augment to tendon and bone healing, especially with newer, anabolic agents. The mainstay of bone health management remains pre-operative evaluation, using opportunistic radiographic and CT based validated measurements, along with optimization of risk factors. Surgical techniques continue to incorporate implants that perform well in osteopenic bone. Promising pre-clinical studies have identified anabolic anti-osteoporosis medications as viable biologic augments to shoulder surgery, which has not been borne out in any clinical studies at this time.

Indexed as

ArthroplastyFractureOsteoporosisRotator CuffShoulderSurgery

Identifiers

PMID39276194
PMCPMC11652552

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.