Evidence map›Paper›PMID 35141610›Full record

ArticleNorth American Spine Society journal2021

Towards a validated patient-specific computational modeling framework to identify failure regions in traditional growing rods in patients with early onset scoliosis.

Aakash Agarwal, Manoj Kodigudla, Amey Kelkar, Daksh Jayaswal, Vijay Goel, Vivek Palepu

Open access · goldAbstract read
In one paragraph

Article in North American Spine Society journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 22% 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, 6 citations in OpenAlex.

  1. Computational Challenges in Tissue Engineering for the Spine.Bioengineering (Basel, Switzerland) · 2021
    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

6 authors at 2 institutions in 1 country.

Aakash AgarwalEngineering Center for Orthopaedic Research Excellence (E-CORE), Department of Bioengineering and Orthopaedic Surgery, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606 USA.
Manoj KodigudlaEngineering Center for Orthopaedic Research Excellence (E-CORE), Department of Bioengineering and Orthopaedic Surgery, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606 USA.
Amey KelkarEngineering Center for Orthopaedic Research Excellence (E-CORE), Department of Bioengineering and Orthopaedic Surgery, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606 USA.
Daksh JayaswalEngineering Center for Orthopaedic Research Excellence (E-CORE), Department of Bioengineering and Orthopaedic Surgery, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606 USA.
Vijay GoelEngineering Center for Orthopaedic Research Excellence (E-CORE), Department of Bioengineering and Orthopaedic Surgery, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606 USA.
Vivek PalepuCenter for Devices and Radiological Health, Office of Science and Engineering Laboratories, Division of Applied Mechanics, U.S. Food and Drug Administration, Silver Spring, MD 20993 USA.
University of Toledo · USCenter for Devices and Radiological Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile growing rods are an important contribution to early-onset scoliosis treatment, rod fractures are a common complication that require reoperations. A recent retrieval analysis study performed on failed traditional growing rods revealed that there are commonalities among patient characteristics based on the location of rod fracture. However, it remains unknown if these locations correspond to high stress regions in the implanted construct.

methodsA patient-specific finite element scoliotic model was developed to match the pre-operative (pre-op) scoliotic curve of a patient as described in previously published articles, and by using the patient registry information along with biplanar radiographs. A dual stainless-steel traditional growing rod construct was implanted into this scoliotic model and the surgical procedure was simulated to match the post-operative (post-op) scoliotic curve parameters. Muscle stabilization and gravity was simulated through follower load application. Rod distraction magnitudes were chosen based on pre-op to post-op cobb angle correction, and flexion bending load was simulated to identify the high stress regions on the rods.

resultsThe patient-specific finite element model identified two high stress regions on the posterior surface of the rods, one at mid construct and the other adjacent to the distal anchors. This correlated well with the data obtained from the retrieval analysis performed by researchers at U.S. Food and Drug Administration (FDA) which showed the posterior surface of the rod as the fracture initiation site, and the three locations of failure as mid-construct, adjacent to distal anchors, and adjacent to tandem connector.

conclusionsThe result of this study confirms that the high stress regions on the growing rods, as identified by the FEA, match the fracture prone sites identified in the retrieval analysis performed at the FDA. This proof-of-concept patient-specific approach can be used to predict sites prone to fracture in growing rods.

Indexed as

BiomechanicsEarly onset scoliosisFinite element analysisGrowing rodsPatient specific modellingRod failures

Identifiers

PMID35141610
PMCPMC8820004
OpenAlexW3110883171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.