Evidence map›Paper›PMID 37456719›Full record

ArticleFrontiers in bioengineering and biotechnology2023

PainVision-based evaluation of brain potentials: a novel approach for quantitative pain assessment.

Li Chen, Zhen Zhang, Rui Han, Liyuan Du, Zhenxing Li, Shuiping Liu, Dong Huang, Haocheng Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. 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
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
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

8 authors.

Li ChenDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.
Zhen ZhangDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.
Rui HanDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.
Liyuan DuDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.
Zhenxing LiDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.
Shuiping LiuDepartment of Pain, Hunan Prevention and Treatment Institute for Occupational Diseases, Changsha, China.
Dong HuangDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.
Haocheng ZhouDepartment of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

EEGevent-related potentialpain assessmentPainVisionquantitative sensory testing

Identifiers

PMID37456719
PMCPMC10338958

What OpenQuestion holds

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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.