Evidence map›Paper›PMID 37293613›Full record

ArticleFrontiers in public health2023

Causal relationships between COVID-19 and osteoporosis: a two-sample Mendelian randomization study in European population.

Kai Zhang, Wei Shi, Xinglong Zhang, Ran Pang, Xinyu Liang, Qian Xu, Chunlei Xu, Xin Wan, Wenhao Cui, Dong Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

15 authors at 4 institutions in 2 countries.

Kai ZhangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Wei ShiDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Xinglong ZhangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Ran PangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Xinyu LiangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Qian XuSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chunlei XuDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Xin WanDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Wenhao CuiDepartment of Pharmacology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Dong LiDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Zhaohui JiangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Zhengxuan LiuDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Hui LiDepartment of Orthopedics, Tianjin Nankai Hospital, Tianjin, China.
Huafeng ZhangDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Zhijun LiDepartment of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Medical University General Hospital · CNKyoto Prefectural University of Medicine · JPTianjin Nankai Hospital · CNTianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The causal relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) remains uncertain. We aimed to assess the effect of COVID-19 severity (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19 hospitalization, and severe COVID-19) on OP by a two-sample Mendelian randomization (MR) study. Methods: We conducted a two-sample MR analysis using publicly available genome-wide association study (GWAS) data. Inverse variance weighting (IVW) was used as the main analysis method. Four complementary methods were used for our MR analysis, which included the MR-Egger regression method, the weighted median method, the simple mode method, and the weighted mode method. We utilized the MR-Egger intercept test and MR pleiotropy residual sum and outlier (MR-PRESSO) global test to identify the presence of horizontal pleiotropy. Cochran's Q statistics were employed to assess the existence of instrument heterogeneity. We conducted a sensitivity analysis using the leave-one-out method. Results: The primary results of IVW showed that COVID-19 severity was not statistically related to OP (SARS-CoV-2 infection: OR (95% CI) = 0.998 (0.995 ~ 1.001), Conclusion: The results of the MR analysis provide preliminary evidence that a genetic causal link between the severity of COVID-19 and OP may be absent.

Indexed as

COVID-19OsteoporosisGenome-Wide Association StudyHumansMendelian Randomization AnalysisSARS-CoV-2causal effectcoronavirus disease 2019geneticMendelian randomizationosteoporosis

Identifiers

PMID37293613
PMCPMC10244501
OpenAlexW4378072526

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.