Evidence map›Paper›PMID 34377347›Full record

ArticleAmerican journal of translational research2021

Impact of dietary management using teach-back method on glucose and lipid metabolism and quality of life in patients with hepatitis B complicated by diabetes.

Jiaying Xia, Jing He

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. 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
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

2 authors at 2 institutions in 1 country.

Jiaying XiaPublic Health Division, The First People's Hospital of Fuyang Hangzhou Hangzhou 311400, Zhejiang, China.
Jing HeDepartment of Otolaryngology, The First People's Hospital of Fuyang Hangzhou Hangzhou 311400, Zhejiang, China.
Hangzhou First People's Hospital · CNThe First People's Hospital of Guiyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the impact of dietary management using teach-back method on glucose and lipid metabolism and quality of life in patients with hepatitis B complicated with diabetes.

methodsA total of 110 patients with hepatitis B complicated with diabetes admitted to our hospital were selected as the study subjects, and divided into Group A (n=60) and Group B (n=50) in accordance with different intervention measures. Group A was treated with dietary management using teach-back method, while Group B was treated with conventional dietary management. The two groups received follow-up observations. The changes in indices of glucose and lipid metabolism within 12 months after intervention were recorded and compared between the two groups, and the changes in treatment adherence, dietary adherence and quality of life scores were compared between the two groups before and after intervention.

resultsThe results showed that at month 1-12 after intervention, Group A had lower levels of fasting plasma glucose (FPG), 2-h post-load plasma glucose (2hPG), hemoglobin A1c (HbA1c), triglycerides (TG), and total cholesterol (TC) compared with Group B (

conclusionThe dietary management using teach-back method can effectively improve the indices of glucose and lipid metabolism, treatment adherence, dietary adherence, and quality of life in patients with hepatitis B complicated with diabetes.

Indexed as

Dietary management using teach-back methodglucose and lipid metabolismhepatitis B complicated by diabetesimpactquality of life

Identifiers

PMID34377347
PMCPMC8340260
OpenAlexW3191844034

What Socratic 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 Socratic graph.