Evidence map›Paper›PMID 27738634›Full record

ArticleBioMed research international2016

Using Innovative Acoustic Analysis to Predict the Postoperative Outcomes of Unilateral Vocal Fold Paralysis.

Yung-An Tsou, Yi-Wen Liu, Wen-Dien Chang, Wei-Chen Chen, Hsiang-Chun Ke, Wen-Yang Lin, Hsing-Rong Yang, Dung-Yun Shie, Ming-Hsui Tsai

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. The surgical treatment of unilateral vocal cord paralysis (UVCP): qualitative review analysis and meta-analysis study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2019
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Yung-An TsouDepartment of Otolaryngology, China Medical University Hospital, Taichung, Taiwan; Department of Audiology and Speech-Language Pathology, Asia University, Taichung, Taiwan.
Yi-Wen LiuDepartment of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.ORCID 0000-0002-4090-5483
Wen-Dien ChangDepartment of Sports Medicine, China Medical University, Taichung, Taiwan.ORCID 0000-0001-5546-5874
Wei-Chen ChenDepartment of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Hsiang-Chun KeDepartment of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Wen-Yang LinDepartment of Biological Science and Technology, National Chiao-Tung University, Hsinchu, Taiwan.
Hsing-Rong YangDepartment of Sports Medicine, China Medical University, Taichung, Taiwan.
Dung-Yun ShieDepartment of Otolaryngology, China Medical University Hospital, Taichung, Taiwan.
Ming-Hsui TsaiDepartment of Otolaryngology, China Medical University Hospital, Taichung, Taiwan.
China Medical University · TWNational Tsing Hua University · TWAsia University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAgedFemaleHumansLaryngoplastyMaleMiddle AgedSignal Processing, Computer-AssistedSound SpectrographyVocal Cord ParalysisVocal Cords

Identifiers

PMID27738634
PMCPMC5050388
OpenAlexW2523211463

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.