Evidence map›Paper›PMID 36568116›Full record

ArticleFrontiers in endocrinology2022

No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization.

Jiawen Xu, Jun Ma, Jialei Chen, Shaoyun Zhang, Che Zheng, Haibo Si, Yuangang Wu, Yuan Liu, Mingyang Li, Limin Wu and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors.

Jiawen XuOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Jun MaOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Jialei ChenOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Shaoyun ZhangOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Che ZhengOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Haibo SiOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Yuangang WuOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Yuan LiuOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Mingyang LiOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Limin WuOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Bin ShenOrthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the genetic causal association between osteoporosis (OP) and iron status through Mendelian randomization (MR). Methods: Publicly available genome-wide association study (GWAS) summary data were used for MR analysis with four iron status-related indicators (ferritin, iron, total iron binding capacity, and transferrin saturation) as exposures and three different types of OP (OP, OP with pathological fracture, and postmenopausal OP with pathological fracture) as outcomes. The inverse-variance weighted (IVW) method was used to analyze the genetic causal association between the four indicators of iron status and OP. The heterogeneity of MR results was determined using IVW and MR-Egger methods. The pleiotropy of MR results was determined using MR-Egger regression. A leave-one-SNP-out test was performed to determine whether the MR results were affected by a single nucleotide polymorphism (SNP). The weighted median method was conducted to further validate our results. Results: Based on IVW, MR-Egger and weighted median models, we found no causal association between iron status (ferritin, iron, total iron binding capacity, or transferrin saturation) and OP (P Conclusion: Our results demonstrate that there is no genetic causal association between OP and iron status, but the effects of other factors were not excluded.

Indexed as

Fractures, SpontaneousIronOsteoporosisFemaleFerritinsGenome-Wide Association StudyHumansMendelian Randomization AnalysisOsteoporosis, PostmenopausalTransferrinsFerritinsIronTransferrinscausal associationgeneticsiron statusmendelian randomizationosteoporosis

Identifiers

PMID36568116
PMCPMC9780364

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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.