Evidence map›Paper›PMID 37803071›Full record

ArticleScientific reports2023

Association between number of medications and hip fractures in Japanese elderly using conditional logistic LASSO regression.

Takuya Uematsu, Yuta Kawakami, Shuko Nojiri, Tomoyuki Saito, Yoshiki Irie, Takatoshi Kasai, Yoshimune Hiratsuka, Muneaki Ishijima, Manabu Kuroki, Hiroyuki Daida and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. Electromyographic Prediction of Walking Independence in Patients With Incomplete Spinal Cord Injury.Archives of rehabilitation research and clinical translation · 2025
    Article
  4. Emerging basic science concepts in geriatric fracture fixation and patient recovery.OTA international : the open access journal of orthopaedic trauma · 2025
    Article
  5. The impact of hip fracture anatomy on admission haemoglobin levels and perioperative transfusion requirements: a 32-year experience.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
    Article
  6. Observational
  7. 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

11 authors at 2 institutions in 1 country.

Takuya UematsuClinical Translational Science, Juntendo University School of Medicine Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Yuta KawakamiClinical Research and Trial Center, Juntendo University, Tokyo, Japan.
Shuko NojiriClinical Translational Science, Juntendo University School of Medicine Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. s-nojiri@juntendo.ac.jp.
Tomoyuki SaitoMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Yoshiki IrieClinical Research and Trial Center, Juntendo University, Tokyo, Japan.
Takatoshi KasaiDepartment of Cardiology, Juntendo University School of Medicine Graduate School of Medicine, Tokyo, Japan.
Yoshimune HiratsukaDepartment of Ophthalmology, Juntendo University School of Medicine Graduate School of Medicine, Tokyo, Japan.
Muneaki IshijimaDepartment of Medicine for Orthopedics and Motor Organ, Juntendo University School of Medicine Graduate School of Medicine, Tokyo, Japan.
Manabu KurokiGraduate School of Engineering Science, Yokohama National University, Kanagawa, Japan.
Hiroyuki DaidaDepartment of Cardiology, Juntendo University School of Medicine Graduate School of Medicine, Tokyo, Japan.
Yuji NishizakiClinical Translational Science, Juntendo University School of Medicine Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Juntendo University · JPYokohama National University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine the association between hip fracture and associated factors, including polypharmacy, and develop an optimal predictive model, we conducted a population-based matched case-control study using the health insurance claims data on hip fracture among Japanese patients. We included 34,717 hospitalized Japanese patients aged ≥ 65 years with hip fracture and 34,717 age- and sex- matched controls who were matched 1:1. This study included 69,434 participants. Overall, 16 variable comorbidities and 60 variable concomitant medications were used as explanatory variables. The participants were added to early elderly and late elderly categories for further analysis. The odds ratio of hip fracture increased with the number of medications only in the early elderly. AUC was highest for early elderly (AUC, 0.74, 95% CI 0.72-0.76). Use of anti-Parkinson's drugs had the largest coefficient and was the most influential variable in many categories. This study confirmed the association between risk factors, including polypharmacy and hip fracture. The risk of hip fracture increased with an increase in medication number taken by the early elderly and showed good predictive accuracy, whereas there was no such association in the late elderly. Therefore, the early elderly in Japan should be an active target population for hip fracture prevention.

Indexed as

East Asian PeopleHip FracturesPolypharmacyAgedCase-Control StudiesComorbidityHumansLogistic ModelsRisk Factors

Identifiers

PMID37803071
PMCPMC10558461
OpenAlexW4387407549

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.