Evidence map›Paper›PMID 30761460›Full record

ArticlePaediatric drugs2019

Neuropathic Pain in Pediatric Oncology: A Clinical Decision Algorithm.

Doralina L Anghelescu, Jessica Michala Tesney

Abstract read
In one paragraph

Article in Paediatric drugs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  16. Methadone in Cancer Pain.Indian journal of palliative care
    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

2 authors.

Doralina L AnghelescuDivision of Anesthesia, Department of Pediatric Medicine, St. Jude Children's Research Hospital, Mail Stop 130, 262 Danny Thomas Place, Memphis, TN, 38105-3678, USA. doralina.anghelescu@stjude.org.ORCID http://orcid.org/0000-0002-8521-2744
Jessica Michala TesneyDivision of Anesthesia, Department of Pediatric Medicine, St. Jude Children's Research Hospital, Mail Stop 130, 262 Danny Thomas Place, Memphis, TN, 38105-3678, USA.

Funding

PROFESSIONAL ONCOLOGY EDUCATION PROGRAMR25CA023944 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE A. GRONEMEYER · 1986 to 2026
$8.3M
National Cancer Institute 5P25CA023944NCI NIH HHS R25 CA023944
6 · The paper itself

Abstract

Neuropathic pain in pediatric oncology can be caused by distinct lesions or disease processes affecting the somatosensory system, including chemotherapy-related neuronal injury, solid tumor-related involvement of neural structures, post-surgical neuropathic pain-including phantom limb pain and pain after limb-sparing surgery-and the complex circumstances of neuropathic pain at the end of life. Treatment algorithms reflect the general treatment principles applied for adult neuropathic pain, but the dose regimens applied in children are modest and rarely escalated to the maximum doses to optimize analgesic efficacy. Pharmacological management of neuropathic pain should be based on a stepwise intervention strategy, as combinations of medications are the most effective approach. Gabapentinoids and tricyclic antidepressants are recommended as first-line therapy. Methadone, ketamine, and lidocaine may be useful adjuvants in selected patients. Prospective studies extended over a substantial length of time are recommended because of the nature of neuropathic pain as persistent, chronic pain and based on the need for sufficient time to escalate medication dose regimens to full analgesic efficacy.

Indexed as

AlgorithmsMedical OncologyAdultAnalgesicsChildChronic PainClinical Decision-MakingHumansKetamineMethadoneNeoplasmsNeuralgiaNeuronsPain MeasurementProspective StudiesAnalgesicsKetamineMethadone

Identifiers

PMID30761460
PMCPMC6779139

What OpenQuestion holds

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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.