Evidence map›Paper›PMID 30806862›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2019

Correction to: A multimodal imaging features of the brain in adult-onset neuronal intranuclear inclusion disease.

Yajing Liu, Jiancong Lu, Kai Li, Hai Zhao, Yanyun Feng, Zaiqiang Zhang, Lang Hu, Guode Li, Yan Shao, Yukai Wang

Abstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2019. 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
–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

3 citing papers in PubMed.

  1. Article
  2. The Value ofFrontiers in neurology · 2021
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yajing LiuDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China.
Jiancong LuDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China.
Kai LiDepartment of Neurology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Hai ZhaoDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China.
Yanyun FengDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China.
Zaiqiang ZhangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lang HuDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China.
Guode LiDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China.
Yan ShaoDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China. 525770184@qq.com.
Yukai WangDepartment of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, No. 81, Lingnan North Road, Foshan, 528000, Guangdong, China. 525770184@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the original article, Zaiqiang Zhang was affiliated to Department of Neurology, Beijing Hospital, National Center of Gerontology, Beijing, China. The corrected affiliation should be: Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Identifiers

PMID30806862

What OpenQuestion holds

Textmetadata
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.