Evidence map›Paper›PMID 42150901›Full record

ArticleZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2026

[Experimental study of patient-specific three-dimensional-printed drill guide-assisted C

Jinhu Li, Weili Jiang, Jiawei Cheng, Chong Niu, Wenshuo Si, Guoqi Niu

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 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

6 authors.

Jinhu LiDepartment of Orthopaedics, the Second Affiliated Hospital of Bengbu Medical University, Bengbu Anhui, 233000, P. R. China.
Weili JiangDepartment of Orthopaedics, the Second Affiliated Hospital of Bengbu Medical University, Bengbu Anhui, 233000, P. R. China.
Jiawei ChengDepartment of Orthopaedics, the Second Affiliated Hospital of Bengbu Medical University, Bengbu Anhui, 233000, P. R. China.
Chong NiuDepartment of Orthopaedics, the Second Affiliated Hospital of Bengbu Medical University, Bengbu Anhui, 233000, P. R. China.
Wenshuo SiDepartment of Orthopaedics, the Second Affiliated Hospital of Bengbu Medical University, Bengbu Anhui, 233000, P. R. China.
Guoqi NiuDepartment of Orthopaedics, the Second Affiliated Hospital of Bengbu Medical University, Bengbu Anhui, 233000, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the screw-placement accuracy and technical advantages of patient-specific three-dimensional (3D)-printed drill guide-assisted C Methods: Preoperative thin-slice CT data from 9 patients with basilar invagination treated between June 2016 and July 2025 were used. For each patient, two 1∶1-scale 3D-printed upper cervical spine models were fabricated, and assigned to the guide-assisted group and the freehand group by computer-generated block randomization. Bilateral C Results: The two assessors showed good agreement in GR grading, with a Conclusion: Patient-specific 3D-printed drill guides can reduce geometric deviations in C

Indexed as

Cervical VertebraePedicle ScrewsPlatybasiaPrinting, Three-DimensionalSpinal FusionSurgery, Computer-AssistedAdolescentAdultFemaleHumansMaleModels, AnatomicTomography, X-Ray ComputedYoung AdultBasilar invaginationC2 pedicle screwsurgical guidethree-dimensional printingupper cervical spine

Identifiers

PMID42150901
PMCPMC13184707

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.