Evidence map›Paper›PMID 35097081›Full record

ArticleWorld journal of clinical cases2022

Impact of failure mode and effects analysis-based emergency management on the effectiveness of craniocerebral injury treatment.

Xiao-Lan Shao, Ya-Zhou Wang, Xiong-Hui Chen, Wen-Juan Ding

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2022. 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
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Xiao-Lan ShaoDepartment of Emergency Surgery Ward 48, First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China.
Ya-Zhou WangDepartment of Emergency Surgery Ward 48, First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China.
Xiong-Hui ChenDepartment of Emergency Surgery Ward 48, First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China.
Wen-Juan DingDepartment of Emergency Surgery Ward 48, First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCraniocerebral injuries encompass brain injuries, skull fractures, cranial soft tissue injuries, and similar injuries. Recently, the incidence of craniocerebral injuries has increased dramatically due to the increased numbers of traffic accidents and aerial work injuries, threatening the physical and mental health of patients.

aimTo investigate the impact of failure modes and effects analysis (FMEA)-based emergency management on craniocerebral injury treatment effectiveness.

methodsEighty-four patients with craniocerebral injuries, treated at our hospital from November 2019 to March 2021, were selected and assigned, using the random number table method, to study (

resultsFor the study group, the assessed parameters [pre-hospital emergency response time (9.13 ± 2.37 min), time to receive a consultation (2.39 ± 0.44 min), time needed to report imaging findings (1.15 ± 4.44 min), and test reporting time (32.19 ± 6.23 min)] were shorter than those for the control group (12.78 ± 4.06 min, 3.58 ± 0.71 min, 33.49 ± 5.51 min, 50.41 ± 11.45 min, respectively;

conclusionFMEA-based craniocerebral injury management effectively shortens the time spent on emergency care, reduces inflammatory stress and complication risk levels, and helps improve patient prognoses, while achieving high patient care satisfaction levels.

Indexed as

Craniocerebral injuryEmergency managementFailure modes and effects analysis theoryTreatment effect

Identifiers

PMID35097081
PMCPMC8771373
OpenAlexW4205508292

What OpenQuestion holds

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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.