Evidence map›Paper›PMID 41760216›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2026

[Study on macro- and micro-mechanical properties of bone regenerative tissue during the healing process of spinal intervertebral fusion devices].

Rongchang Fu, Yuxuan Zhang, Xu Zhu, Huaiyue Zhang

Abstract readEnglish Abstract
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Rongchang FuThe School of Mechanical Engineering, Xinjiang University, Urumqi 830017, P. R. China.
Yuxuan ZhangThe School of Mechanical Engineering, Xinjiang University, Urumqi 830017, P. R. China.
Xu ZhuThe Sixth Affiliated Hospital, Xinjiang Medical University, Urumqi 830017, P. R. China.
Huaiyue ZhangThe School of Mechanical Engineering, Xinjiang University, Urumqi 830017, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following spinal fusion surgery, the mechanical properties of macroscopic bone regenerative tissue and microscopic bone cells during daily activities remain unclear. This study employed a submodel approach to establish connections between bone regenerative tissue and bone cells, simulating human physiological activities to obtain stress-strain data at both macro- and micro-scales across various stages and working conditions. Results indicate that vertical external forces significantly impact bone healing. Patients should minimize large-amplitude forward flexion and right rotation movements during the early healing phase. Once healing is largely complete, appropriate activity is safe, though caution should still be exercised to avoid large-amplitude forward flexion, left rotation, and right lateral flexion movements. This study investigated healing variations in regenerated bone tissue across different end-face orientations, regions, and operational conditions during the healing process. It provides a theoretical basis for developing movement guidelines that promote healing during the postoperative recovery phase for patients who have undergone spinal fusion surgery.

Indexed as

Bone RegenerationSpinal FusionWound HealingBiomechanical PhenomenaFinite Element AnalysisHumansStress, MechanicalBone regenerative tissueCross-scaleFinite elementIntervertebral fusion deviceMechanical properties

Identifiers

PMID41760216
PMCPMC12948534

What OpenQuestion holds

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Registered trials

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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.