Evidence map›Paper›PMID 35664564›Full record

ArticleJournal of oncology2022

The Tumor Plastic Surgery Technology versus Traditional Repair Technology on the Repair of Large-Area Skin Defects after Maxillofacial Tumor Resection: A Randomized Controlled Trial.

Xue-Feng Zhang, Zheng Chu, Hong-Li Yang, Bing Zhao

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. 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, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 2 institutions in 1 country.

Xue-Feng ZhangDepartment of Orthopedics, Panzhihua Iron and Steel Group General Hospital, Panzhihua, Sichuan Province, China.
Zheng ChuDepartment of Neurosurgery, Panzhihua Iron and Steel Group General Hospital, Panzhihua, Sichuan Province, China.ORCID https://orcid.org/0000-0003-3275-239X
Hong-Li YangDepartment of Science and Education, General Hospital of Pangang Group, Panzhihua, Sichuan Province, China.
Bing ZhaoPlastic Surgery Department of Chengdu Fuli Plastic Surgery Hospital, Chengdu, Sichuan Province, China.
Panzhihua Central Hospital · CNPlastic Surgery Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effect of tumor plastic surgery on the repair of large-area skin defects after maxillofacial tumor resection. Methods: 90 patients undergoing maxillofacial tumor resection in our hospital from March 2019 to March 2020 were selected and randomized 1 : 1 to receive either tumor plastic surgery (experimental group) or traditional repair (control group). The clinical efficacy and facial cosmetic improvement of the two groups were compared. The Patient and Observer Scar Assessment Scale (POSAS) was used to evaluate the surgical outcomes of the two groups, the Profile of Mood States (POMS) was used to evaluate the patients' psychological status, and the Generic Quality of Life Inventory-74 (GQOLI-74) was used to assess the quality of life of patients. Results: Total clinical effective rate of the experimental group was significantly higher than that of the control group ( Conclusion: Tumor plastic surgery is a promising alternative for patients undergoing maxillofacial tumor resection. It can effectively promote the recovery of facial morphology and physiological function of patients, with high clinical efficacy, so it merits promotion and application.

Identifiers

PMID35664564
PMCPMC9162858
OpenAlexW4281691334

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.