Evidence map›Paper›PMID 31393405›Full record

ArticleMedicine2019

Effectiveness of electrical stimulation for postoperative pain in patients with osteosarcoma: A systematic review protocol of clinical controlled trial.

Tao Yu, Hua-Yu Tang, Tian-Shu Wang, Wei Wei

Abstract read
In one paragraph

Article in Medicine, 2019. 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
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.

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.

Tao YuSecond Ward of Orthopedis Department, First Affiliated Hospital of Jiamusi University, Jiamusi, China.
Hua-Yu Tang
Tian-Shu Wang
Wei Wei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to investigate the effectiveness and safety of electrical stimulation (ES) for postoperative pain (PPP) in patients with osteosarcoma systematically.

methodsWe will systematically search the following electronic databases from inception to the May 1, 2019: MEDILINE, Cochrane Library, EMBASE, Web of Science, Springer, and CNKI without language restrictions. All literatures of randomized controlled trials (RCTs) and case-controlled studies (CCSs) of ES for PPP in patients with osteosarcoma will be included. RevMan 5.3 software (Cochrane Community; London, UK) and STATA 15.0 software (StataCorp; College Station) will be used for statistical analysis. Cochrane risk of bias will be used for methodological quality assessment for RCTs and Newcastle-Ottawa Scale will be utilized for CCSs.

resultsThis study will assess the clinical effectiveness and safety of ES for PPP in patients with osteosarcoma through assessing primary outcome of pain intensity and secondary outcomes of frequency of rescue analgesic use, cumulative morphine consumption, quality of recovery, as well as adverse events.

conclusionThis study will provide latest evidence on effectiveness and safety of ES for PPP in patients with osteosarcoma, and may also provide guidance for both clinician and further studies. DISSEMINATION AND ETHICS: This study does not require ethical approval, because it will not analyze the individual patient data. Its results are expected to be published in peer-reviewed journals. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019135790.

Indexed as

Electric Stimulation TherapyOsteosarcomaPostoperative PainCase-Control StudiesHumansMorphineOrthopedic ProceduresPain MeasurementRandomized Controlled Trials as TopicResearch DesignSystematic Reviews as TopicMorphine

Identifiers

PMID31393405
PMCPMC6709289

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.