Evidence map›Paper›PMID 39421935›Full record

ArticleJournal of global health2024

Long-term effects of COVID-19 infection on bone mineral density.

Zhan Wang, Zilong Li, Yechao Shen, Shengjun Qian, Mengling Tang, Jiaming He, Haoda Lu, Ning Zhang

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Bone and Infections: An Osteoimmunological Interplay.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. The effects of SARS-CoV-2 on bone homeostasis.Frontiers in endocrinology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Observational
  13. Article
  14. 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

8 authors.

Zhan Wang *Department of Orthopaedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Zilong Li *Department of Orthopaedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Yechao ShenDepartment of Orthopaedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Shengjun QianDepartment of Orthopaedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Mengling TangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Zhejiang, China.
Jiaming HeFirst Affiliated Hospital of Xian Jiaotong University, Shaanxi, China.
Haoda LuBioinformatics Institute, A*STAR, Singapore.
Ning ZhangDepartment of Orthopaedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In this study, we aimed to identify bone mineral density (BMD) trajectories of hospitalised patients with coronavirus disease 2019 (COVID-19) and to determine the prognostic role of the trajectory groups. Methods: This is a retrospective study of hospitalised patients with COVID-19 treated in our hospital from November 2022 to February 2023. BMD was manually measured from the thoracic 12 (T12) and lumbar one (L1) vertebra using chest computed tomography images. We constructed group trajectory models using group-based trajectory modelling. We performed the logistic regression analysis to associate the BMD trajectory pattern with clinical outcomes. Results: This study included 1767 patients. The mean follow-up time after discharge was 181.5 days (standard deviation (SD) = 9.7). There were 1137 (64.3%) male patients, and more than 80% of patients were aged >60 years. We successfully identified three latent BMD trajectories to reveal the dynamic effects of COVID-19 infection on bone health in patients, namely, the early low-normal decline group, the average, and the early high-rapid decline group. All groups demonstrated consistent overall declining trends. A significant association was observed between BMD trajectory pattern (T12 or L1) and baseline characteristics of sex, age, and penetrating keratoplasty (P < 0.05). Our study showed that the BMD trajectories were significantly associated with mortality. Furthermore, we found that these trajectories were also associated with the length of hospital stay. Conclusions: This study provided evidence for the COVID-19 process to bone health, as well as evidence on strengthening bone health management before and after COVID-19 infection. BMD trajectories may help manage bone health and guide treatment in patients with COVID-19.

Indexed as

Bone DensityCOVID-19AdultAgedFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID39421935
PMCPMC11487469

What OpenQuestion 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 OpenQuestion graph.