Evidence map›Paper›PMID 35013371›Full record

Trial reportScientific reports2022

Efficacy and safety of 3D printing-assisted percutaneous nephrolithotomy in complex renal calculi.

Dong Cui, Fengqi Yan, JiangPu Yi, Dali He, Yichen Zhang, Zekai Zhang, Yuntao Chen, Yong Jiao, Bo Zhang

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.6field-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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. New Technology in Percutaneous Nephrolithotomy: Application of Navigation System, Robotics, Artificial Intelligence, and Suction Access Sheath.International journal of urology : official journal of the Japanese Urological Association · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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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

9 authors at 1 institution in 1 country.

Dong Cui *Department of Urology, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
Fengqi Yan *Department of Urology, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
JiangPu Yi *Department of Ultrasound Diagnostic, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
Dali HeDepartment of Urology, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
Yichen ZhangDepartment of Urology, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
Zekai ZhangDepartment of Ultrasound Diagnostic, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
Yuntao ChenDepartment of Ultrasound Diagnostic, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China.
Yong JiaoDepartment of Urology, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China. duyuefeng1234@163.com.
Bo ZhangDepartment of Urology, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China. zhangbo@fmmu.edu.cn.
Tang Du Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the efficacy and safety of 3D printing technology combined with percutaneous nephrolithotomy in the treatment of complex renal calculi. Ninety patients with complex renal calculi were randomly divided into a 3D printing group (45 patients) and a control group (45 patients). In the 3D printing group, a patient-specific 1:1 3D printing model was established based on the patient's thin-layer CT scanning data. A 3D printing model was used for preoperative communication between doctors and patients. Preoperative puncture training, channel design, residual stone prediction, and percutaneous nephrolithotomy were performed under the guidance of a 3D printing model and B-ultrasound. The control group was treated with the conventional B-ultrasound-guided puncture method. Results suggest that there was a statistically significant difference between the two groups (P < 0.05). The overall score of the doctor-patient communication objects in the 3D printing group was 19.32 ± 1.57 points, and in the control group, it was 14.51 ± 2.13 points. The operation time of the 3D printing group was 103.21 ± 13.49 min, and that of the control group was 126.12 ± 25.87 min. The calculi clearance rate of the 3D printing group was 96%, while that of the control group was 80%. The incidence of postoperative complications was 6.67% in the 3D printing group and 22.22% in the control group. Compared with traditional percutaneous nephrolithotomy, 3D printing technology combined with percutaneous nephrolithotomy can significantly enhance the effectiveness of doctor-patient communication, shorten operation time, reduce operation bleeding, improve the stone clearance rate, reduce the incidence of complications and shorten the length of hospital stay. The proposed method is thus a safe and effective method to treat complex renal calculi.

Indexed as

Models, AnatomicNephrolithotomy, PercutaneousPrinting, Three-DimensionalAdultAgedChinaFemaleHealth CommunicationHumansKidney CalculiLength of StayMaleMiddle AgedOperative TimePatient Education as TopicPhysician-Patient Relations

Identifiers

PMID35013371
PMCPMC8748774
OpenAlexW4206341929

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.