Evidence map›Paper›PMID 35855120›Full record

ArticleSurgical neurology international2022

Early experience with patient-specific low-cost 3D-printed polymethylmethacrylate cranioplasty implants in a lower-middle-income-country: Technical note and economic analysis.

Mohammad Ashraf, Nabeel Choudhary, Usman Ahmad Kamboh, Muhammad Asif Raza, Kashif Ali Sultan, Naseeruddin Ghulam, Syed Shahzad Hussain, Naveed Ashraf

Open access · hybridAbstract read
In one paragraph

Article in Surgical neurology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Three-Dimensional Printing in Pediatric Orthopaedics: Cost Analysis and Emerging Applications.Journal of the Pediatric Orthopaedic Society of North America · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025
    Review
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
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

8 authors at 2 institutions in 2 countries.

Mohammad AshrafWolfson School of Medicine, University of Glasgow, Scotland, United Kingdom.
Nabeel ChoudharyDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Usman Ahmad KambohDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Muhammad Asif RazaDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Kashif Ali SultanDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Naseeruddin GhulamDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Syed Shahzad HussainDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Naveed AshrafDepartment of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore, Lahore, Pakistan.
Jinnah Postgraduate Medical Center · PKAllama Iqbal Medical College · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polymethyl methacrylate (PMMA) cranioplasty, while widely prevalent, has limitations associated with freehand manual intraoperative molding. PMMA has been superseded by titanium or Polyetheretherketone implants, prefabricated commercially from preoperative CT scans, and boasting superior clinical and cosmetic outcomes. However, such services are extremely inaccessible and unaffordable in the lower-middle-income country (LMIC) settings. The study aims to describe, in detail, the process of making ultra-low-cost patient-specific PMMA cranioplasty implants with minimum resources using open-access software. We report the first such service from the public health-care system within Pakistan, a LMIC. Methods: Using open-source software, preoperative CT heads were used to prefabricate three-dimensional implants. Both implant and cranial defects were printed using polylactic acid (PLA) to assess the implant's size and fit preoperatively. From the PLA implant, we fashioned a silicon mold that shapes the PMMA implant. Ten patients who underwent cranioplasty using our technique for various cranial defects with at least a 12-month follow-up were retrospectively reviewed. Clinical, cosmetic, and radiological outcomes were objectively assessed. Results: Etiology of injury was trauma (8), malignant MCA infarct (1), and arteriovenous fistula (1). We produced seven frontotemporal-parietal implants, one bifrontal, one frontal, and one frontoparietal. At 1 year, eight patients reported their cosmetic appearance comparable to before the defect. Radiological outcome was classified as "excellent" for eight patients. No postoperative complications were encountered, nor did any implant have to be removed. One patient's implant involving the orbital ridge had an unsatisfactory cosmetic outcome and required revision surgery. The average cost per implant to the National Health Service was US$40. Conclusion: Prefabricated patient-specific PMMA cranioplasty implants are cost-effective. A single surgeon can fashion them in a limited resource setting and provide personalized medicine with excellent clinical/cosmetic-radiological results. Our method produces patient-specific cranioplasty implants in an otherwise unaffordable LMIC setting.

Indexed as

3D PrintingCranioplastyLow costLower middle income countryPMMA polymethylmetharcylateSilicon mould

Identifiers

PMID35855120
PMCPMC9282781
OpenAlexW4283391059

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.