Modeling-Based Assessment of 3D Printing-Enabled Meniscus Transplantation.

Zimeng Zhang, Qian Wu, Li Zeng, Shiren Wang

Abstract read

In one paragraph

Article in Healthcare (Basel, Switzerland), 2019. 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.

Zimeng ZhangDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA. zimeng_zhang@tamu.edu.

Qian WuDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA. hi_qianwu@tamu.edu.

Li ZengDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA. lizeng@tamu.edu.

Shiren WangDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA. s.wang@tamu.edu.ORCID 0000-0003-4516-3025

Funding

National Science Foundation CMMI-1634858

6 · The paper itself

Abstract

3D printing technology is able to produce personalized artificial substitutes for patients with damaged menisci. However, there is a lack of thorough understanding of 3D printing-enabled (3DP-enabled) meniscus transplantation and its long-term advantages over traditional transplantation. To help health care stakeholders and patients assess the value of 3DP-enabled meniscus transplantation, this study compares the long-term cost and risk of this new paradigm with traditional transplantation by simulation. Pathway models are developed to simulate patients' treatment process during a 20-year period, and a Markov process is used to model the state transitions of patients after transplantation. A sensitivity analysis is also conducted to show the effect of quality of 3D-printed meniscus on model outputs. The simulation results suggest that the performance of 3DP-enabled meniscus transplantation depends on quality of 3D-printed meniscus. The conclusion of this study is that 3DP-enabled meniscus transplantation has many advantages over traditional meniscus transplantation, including a minimal waiting time, perfect size and shape match, and potentially lower cost and risk in the long term.

Indexed as

3D printingMarkov modelmeniscus transplantationpathway model

Identifiers

PMID31083361

DOI10.3390/healthcare7020069

PMCPMC6627735

What OpenQuestion holds

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LicenceCC BY

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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.