Evidence map›Paper›PMID 35495912›Full record

ArticleFrontiers in nutrition2022

Predictive Model for Oral Status in Elderly People in a Taiwanese Nursing Home Using a High-Protein Black Soybean Koji Food.

Kai-Wei Liao, Wen-Liang Lo, Chien-Yeh Hsu, Wan-Chun Chiu, Chieh-Hsi Wu, Yi-Wen Chen, Po-Chi Hsu, Hui-Yu Huang

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

8 authors.

Kai-Wei LiaoSchool of Food Safety, College of Nutrition, Taipei Medical University, Taipei, Taiwan.
Wen-Liang LoDepartment of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chien-Yeh HsuDepartment of Information Management, National Taipei University of Nursing and Health Science, Taipei, Taiwan.
Wan-Chun ChiuSchool of Nutrition and Health Sciences, Taipei Medical University, Taipei, Taiwan.
Chieh-Hsi WuSchool of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Yi-Wen ChenGraduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei, Taiwan.
Po-Chi HsuGraduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei, Taiwan.
Hui-Yu HuangGraduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increased age, the appetite, chewing, swallowing, and digestive ability gradually decrease. Previous studies have shown that poor oral health is associated with an inadequate intake of macro and micronutrients and malnutrition. Therefore, improving the diet of elderly people and promoting nutrient absorption will help to improve the quality of life for elderly people. However, few studies have predicted their oral ability based on different food textures and other factors. The purpose of this study was to explore the correlation between oral assessment and texture parameters of high-protein black soybean koji products in elderly people in a nursing home. We used cross-sectional study design for seventy-nine residents aged 65 years and older were recruited. Three different texture of cookies, including normal cookie hardness (1.4 × 10

Indexed as

elderlyhigh-protein black soybean koji productnursing homeoral statustexture classification

Identifiers

PMID35495912
PMCPMC9047994

What OpenQuestion holds

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Registered trials

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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.