Evidence map›Paper›PMID 34616529›Full record

ArticleJournal of healthcare engineering2021

Study on the Application Value of CT Thin-Layer Scan Data Assisted 3D Printing Technology in Hip and Knee Replacement.

Shihua Sun, Yongbin Xi, Xingchen Shi, Li Zhao, Fuming Ma, Jifang Qian

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Shihua SunThe No. 2 People's Hospital of Lanzhou Orthopaedics Department, Lanzhou Gansu 730030, China.ORCID 0000-0003-0769-2583
Yongbin XiThe No. 2 People's Hospital of Lanzhou Orthopaedics Department, Lanzhou Gansu 730030, China.ORCID 0000-0003-1063-5942
Xingchen ShiThe No. 2 People's Hospital of Lanzhou Orthopaedics Department, Lanzhou Gansu 730030, China.ORCID 0000-0001-6534-6385
Li ZhaoGansu Provincial Maternity and Child-Care Hospital Medical Imaging Center, Lanzhou Gansu 730040, China.ORCID 0000-0002-2222-6233
Fuming MaThe No. 2 People's Hospital of Lanzhou Orthopaedics ED, Lanzhou Gansu 730030, China.ORCID 0000-0002-2351-9927
Jifang QianGansu Provincial Maternity and Child-Care Hospital Medical Imaging Center, Lanzhou Gansu 730040, China.ORCID 0000-0001-8101-8306
Gansu Provincial Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better study hip and knee replacement, 50 eligible hip and knee patients from March 2020 to April 2021 were selected. A 1 : 1 scale solid model was printed with CT thin-layer scanning data assisted by 3D printing technology to evaluate the ankle function of patients six months after surgery. The results showed that the 3D rapid prototyping time of the 1 : 1 fracture model in 50 patients was 3-4 hours. The operation time was 70-90 min, and the average operation time was 80 min. The actual application in operation was consistent with that in the simulation of the 3D printing model, after surgery, and there was no infection of incision soft tissue or loss of reduction in all 50 patients. CT thin-layer scan data aided 3D printing technology can help clinical hip and knee replacement simulation and planning, improving surgery's accuracy and safety.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeFractures, BonePrinting, Three-DimensionalHumansKnee JointTomography, X-Ray Computed

Identifiers

PMID34616529
PMCPMC8490035
OpenAlexW3202684974

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.