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ArticleClinical and experimental nephrology2022

Lateral spine dual-energy X-ray absorptiometry and the risk of fragility fractures in long-term kidney graft recipients.

Mayuko Hori, Kaoru Yasuda, Hiroshi Takahashi, Yutaka Matsuoka, Makoto Tsujita, Morikuni Nishihira, Kazuharu Uchida, Kunio Morozumi, Shoichi Maruyama

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Article in Clinical and experimental nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mayuko HoriDepartment of Nephrology, Masuko Memorial Hospital, 35-28 Takehashi-cho, Nakamura-ku, Nagoya, Aichi, 453-8566, Japan. m-hori@masuko.or.jp.ORCID http://orcid.org/0000-0002-6104-0204
Kaoru YasudaDepartment of Nephrology, Masuko Memorial Hospital, 35-28 Takehashi-cho, Nakamura-ku, Nagoya, Aichi, 453-8566, Japan.
Hiroshi TakahashiDepartment of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Yutaka MatsuokaDepartment of Renal Transplant Surgery, Masuko Memorial Hospital, Nakamura-ku, Nagoya, Aichi, Japan.
Makoto TsujitaDepartment of Nephrology, Masuko Memorial Hospital, 35-28 Takehashi-cho, Nakamura-ku, Nagoya, Aichi, 453-8566, Japan.
Morikuni NishihiraDepartment of Nephrology, Yuuai medical center, Tomishiro, Okinawa, Japan.
Kazuharu UchidaDepartment of Renal Transplant Surgery, Masuko Memorial Hospital, Nakamura-ku, Nagoya, Aichi, Japan.
Kunio MorozumiDepartment of Nephrology, Masuko Memorial Hospital, 35-28 Takehashi-cho, Nakamura-ku, Nagoya, Aichi, 453-8566, Japan.
Shoichi MaruyamaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Showa-ku, Nagoya, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the prevalence of osteoporosis and fractures in the first 6-12 months post-renal transplantation is high, little is known about the utility of bone mineral density (BMD) to predict fractures in long-term kidney graft recipients. Lateral spine dual-energy X-ray absorptiometry (DXA) scanning is a reliable tool for measuring glucocorticoid-induced and age-related bone loss in the elderly population. However, little is known about the utility of lateral spine DXA for patients with chronic kidney diseases. This study aimed to analyze the utility of lateral spine BMD for fragility fractures in long-term kidney graft recipients.

methodsA total of 357 stable kidney transplant recipients for a minimum of 1 year after kidney transplantation underwent DXA measurements at several sites, including the lateral spine between January 2017 and December 2018. We collected data on new incident fractures from the patients' medical records.

resultsThe median post-transplantation time at baseline DXA measurement was 12.6 years. During the median follow-up period of 3.5 years, 41 (11.4%) fractures occurred. The lateral spine BMDs were independently associated with fractures (adjusted hazard ratio 0.076; 95% confidence interval 0.012-0.42, p = 0.003). The cumulative incidence rate of fractures was significantly higher in the lower lateral spine BMD group (< 0.471 g/cm

conclusionLateral lumbar spine BMD can be used to predict the risk of fragility fractures in long-term kidney graft recipients.

Indexed as

Fractures, BoneOsteoporosisOsteoporotic FracturesAbsorptiometry, PhotonAgedBone DensityHumansKidneyLumbar VertebraeBone mineral density (BMD)Dual-energy X-ray absorptiometry (DXA)FractureKidney transplantLateral spine

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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.