Evidence map›Paper›PMID 30127325›Full record

ArticleNutrients2018

Red Blood Cell Aggregation-Associated Dietary Pattern Predicts Hyperlipidemia and Metabolic Syndrome.

Pei Lin, Chun-Chao Chang, Kuo-Ching Yuan, Hsing-Jung Yeh, Sheng-Uei Fang, Tiong Cheng, Kai-Tse Teng, Kuo-Ching Chao, Jui-Hsiang Tang, Wei-Yu Kao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

13 authors at 1 institution in 1 country.

Pei LinSchool of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11031, Taiwan. peilin.nhs@gmail.com.
Chun-Chao ChangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. chunchao@tmu.edu.tw.
Kuo-Ching YuanDepartment of Emergency and Critical Care Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. traumayuan@gmail.com.ORCID 0000-0002-0692-0559
Hsing-Jung YehDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. yiew@ms10.hinet.net.
Sheng-Uei FangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. f3836@yahoo.com.tw.
Tiong ChengDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. janetiong@tmu.edu.tw.
Kai-Tse TengDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. momotenshi100@gmail.com.
Kuo-Ching ChaoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. chin3064@gmail.com.
Jui-Hsiang TangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. 151002@h.tmu.edu.tw.
Wei-Yu KaoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. 121021@h.tmu.edu.tw.ORCID 0000-0002-5506-4293
Pao-Ying LinDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. linpaoying@gmail.com.
Ju-Shian LiuDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan. liu6032@tmu.edu.tw.
Jung-Su ChangSchool of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11031, Taiwan. susanchang@tmu.edu.tw.
Taipei Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all

Indexed as

Cell AggregationDietAdultAnthropometryAsian PeopleBiomarkersBody Mass IndexCholesterolErythrocytesFemaleHematocritHemoglobinsHepcidinsHumansHyperlipidemiasIronBiomarkersCholesterolHemoglobinsHepcidinsIronTransferrinTriglyceridesdietary patterndyslipidemiahepcidinmetabolic syndromered blood cell aggregationsoluble (s) CD163

Identifiers

PMID30127325
PMCPMC6115951
OpenAlexW2888173387

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.