Evidence map›Paper›PMID 31750343›Full record

ArticleWorld journal of clinical cases2019

Multidisciplinary treatment of a patient with necrotizing fasciitis caused by

Li-Qian Xu, Xin-Xiu Zhao, Pei-Xia Wang, Ji Yang, Yun-Mei Yang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Li-Qian XuDepartment of Geriatrics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Xin-Xiu ZhaoDepartment of Geriatrics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Pei-Xia WangDepartment of Geriatrics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Ji YangDepartment of Geriatrics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Yun-Mei YangDepartment of Geriatrics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China. 1194070@zju.edu.cn.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNecrotizing fasciitis is a severe bacterial skin infection that spreads quickly and is characterized by extensive necrosis of the deep and superficial fascia resulting in the devascularization and necrosis of associated tissues. Because of high morbidity and mortality, accurate diagnosis and early treatment with adequate antibiotics and surgical intervention are vital. And timely identification and treatment of complications are necessary to improve survival of patient. CASE SUMMARY: We report a case of necrotizing fasciitis caused by

conclusionThe key to successful management of necrotizing fasciitis is an early and accurate diagnosis. The method of using vacuum sealing drainage in postoperative patients can keep the wound dry and clean, reduce infection rate, and promote wound healing. Interdisciplinary collaboration is a vital prerequisite for successful treatment.

Indexed as

Case reportMulti-disciplinary treatmentNecrotizing fasciitisSurgical debridementVacuum sealing drainage

Identifiers

PMID31750343
PMCPMC6854421
OpenAlexW2984345090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.