Evidence map›Paper›PMID 36854686›Full record

GuidelineZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2023

[Evidence-based guideline for neonatal pain management in China (2023)].

National Clinical Research Center for Child Health and Diseases/Ministry of Education Key Laboratory of Child Development and Disorders/Chongqing Key Laboratory of Pediatrics/Children's Hospital of Chongqing Medical University

Abstract readEnglish AbstractPractice Guideline
In one paragraph

Guideline in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

1 author.

National Clinical Research Center for Child Health and Diseases/Ministry of Education Key Laboratory of Child Development and Disorders/Chongqing Key Laboratory of Pediatrics/Children's Hospital of Chongqing Medical University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain disrupts neonatal vital signs and internal environment homeostasis and affects the recovery process, and recurrent pain stimulation is one of the important risk factors for neurodevelopmental disorders and some chronic diseases. In order to standardize pain management practice in neonatal wards in China and effectively prevent and reduce the adverse effects of pain on the physical and mental development of neonates, National Clinical Research Center for Child Health and Diseases (Children's Hospital of Chongqing Medical University) convened a multidisciplinary panel to formulate the evidence-based guideline for neonatal pain management in China (2023 edition) following the principles and methods for the guideline development issued by the World Health Organization. Based on the best evidence and expert consensus, this guideline gives 26 recommendations for nine clinical issues, i.e., the classification and definition of neonatal pain, common sources of pain, pain assessment principles, pain assessment methods, analgesic principle, non-pharmaceutical analgesic methods, pharmaceutical analgesic methods, parental participation in pain management, and recording methods for pain management, so as to provide medical staff with guidance and a decision-making basis for neonatal pain assessment and analgesia management.

Indexed as

PainPain ManagementChildChild HealthChinaConsensusHumansInfant, NewbornClinical practice guidelineNeonatePain

Identifiers

PMID36854686
PMCPMC9979385

What OpenQuestion holds

Textmetadata
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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.