Evidence map›Paper›PMID 38985377›Full record

Trial reportUpdates in surgery2024

3D printing and intelligent technology increase convenience, reliability, and patient acceptance of ostomy nursing: a randomized controlled trial.

Jing Wang, Zequn Zhuang, Jingning Zhou, Xiaojing Lu, Shengquan Chen, Li Wang, Yigang Chen

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Updates in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. 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

7 authors.

Jing Wang *Wuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, 214000, Jiangsu, People's Republic of China.
Zequn Zhuang *The Affiliated Wuxi No. 2 Hospital of Nanjing Medical University, Wuxi, 214000, Jiangsu, People's Republic of China.
Jingning Zhou *The Affiliated Wuxi No. 2 Hospital of Nanjing Medical University, Wuxi, 214000, Jiangsu, People's Republic of China.
Xiaojing LuThe Affiliated Wuxi No. 2 Hospital of Nanjing Medical University, Wuxi, 214000, Jiangsu, People's Republic of China.
Shengquan ChenPeople's Hospital of Guanyun County, Lianyungang, 222200, People's Republic of China.
Li WangWuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, 214000, Jiangsu, People's Republic of China. wanglil321@163.com.
Yigang ChenWuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, 214000, Jiangsu, People's Republic of China. 9862023226@jiangnan.edu.cn.ORCID http://orcid.org/0000-0002-3036-3537

Funding

Project of Wuxi science and Technology Development Fund Y20212004Project of Wuxi translational medicine center 2020ZHYB10Top Talent Support Program for young and middle-aged people of Wuxi Health Committee BJ2020032
6 · The paper itself

Abstract

Traditional ostomy bags commonly cause skin allergy and inflammation around the stoma, as well as leakage. This study aimed to examine the effect of a 3D-printed ostomy bag with sensors and stimulators on stoma nursing. This is a randomized controlled trial. This trial involved 113 distinct individuals who undergo colorectal cancer surgery and intestinal obstruction surgery, with resulting stoma. The date of trial registration was January 17, 2019, and the date of first recruitment was May 1, 2019. Patients were randomized into two groups: intelligent 3D-printed ostomy bag (3D group, n = 57) and Coloplast one-piece pouching systems (control group, n = 56). The shape of ostomy and the surrounding skin of all the 57 patients of the 3D group was scanned by a handheld 3D scanner. Then, the ostomy bag chassis (also known as skin barrier) was 3D printed and an intelligent device adhered to the ostomy bag. The wearing time, leakage rate, the Discoloration, Erosion, and Tissue Overgrowth (DET) score, and the Acceptance of Illness Scale (AIS) were observed. In the 3D-printed bag group, the time to wear (0.7 ± 0.4 m) was significantly shorter than that of the control group (9.1 ± 3.5 m). The leakage rate of 3D-printed bag (1.75%) was significantly lower than that of the control group (16.1%). The DET score for the 3D-printed bag group was also lower than that of the control group, and the AIS score for the 3D-printed bag group was higher than that of the control group. The 3D-printed ostomy bags and the linked computer program can significantly reduce wearing time, leakage rate, and stoma complications. This may improve the quality of home ostomy care for patients and reduce the incidence of skin complications around the stoma.Registration number: ChiCTR1900020752.

Indexed as

OstomyPrinting, Three-DimensionalAdultAgedColorectal NeoplasmsFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareReproducibility of Results3D printingIntelligent technologyOstomy bagOstomy care

Identifiers

What OpenQuestion holds

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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.