Evidence map›Paper›PMID 42876614›Full record

ArticleFrontiers in medicine2026

Impact of low bone mass and osteoporosis on lower limb alignment and knee function in high tibial osteotomy for varus knee osteoarthritis.

Zhipeng Xue, Xiaomin Li, Ye Huang, Dafu Zhou, Yuanyi Hu, Xiangdong Tian

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zhipeng Xue *Department of Minimally Invasive Joint, Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaomin Li *Department of Orthopaedics, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ye HuangDepartment of Minimally Invasive Joint, Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China.
Dafu ZhouDepartment of Minimally Invasive Joint, Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yuanyi HuDepartment of Minimally Invasive Joint, Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiangdong TianDepartment of Minimally Invasive Joint, Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine whether low bone mass or osteoporosis was associated with clinical and radiographic outcomes after high tibial osteotomy (HTO) in patients with varus knee osteoarthritis (KOA). Methods: This retrospective cohort included 123 patients with varus KOA who underwent medial open-wedge HTO between January 2019 and January 2024. Preoperative dual-energy x-ray absorptiometry classified 60 patients as having osteopenia or osteoporosis (T-score <-1.0; 42 with osteopenia and 18 with osteoporosis) and 63 as having normal bone mass (T-score ≥-1.0). Clinical outcomes included the Visual Analogue Scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Lysholm score. Radiographic outcomes included the medial proximal tibial angle (MPTA), femorotibial angle (FTA), hip-knee-ankle angle (HKA), weight-bearing line ratio (WBLR), and posterior tibial slope (PTS). Outcomes were assessed preoperatively and during follow-up to 24 months. Because no primary endpoint or Results: Both groups improved from baseline in pain, function, and most alignment measures. At 24 months, no statistically significant between-group differences were detected in VAS, WOMAC, Lysholm, MPTA, FTA, HKA, WBLR, or PTS (all Conclusions: In this retrospective cohort, low bone mass or osteoporosis was not significantly associated with inferior clinical or radiographic outcomes after HTO at 24 months. The absence of statistically significant differences should not be interpreted as evidence of equivalence. Treatment was completely confounded with bone-status group, and the study was not powered to exclude clinically meaningful differences or uncommon complications. Larger prospective studies with prespecified endpoints and standardized treatment protocols are warranted.

Indexed as

high tibial osteotomyknee functionlow bone masslower limb alignmentosteoporosisvarus knee osteoarthritis

Identifiers

PMID42876614
PMCPMC13661481

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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.