Evidence map›Paper›PMID 35979052›Full record

Trial reportComputational and mathematical methods in medicine2022

Effect of Continuous Nutrition Management Intervention on Nutritional Status and Development of Premature Infants Based on Mobile Medical APP.

Qing Zhang, Zhiyan Huo

RetractedOpen access · hybridAbstract readRandomized Controlled TrialRetracted Publication
In one paragraph

Trial report in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Qing ZhangPediatrics Xingyuan Hospital, Yulin City, Shaanxi Province 719000, China.
Zhiyan HuoPediatrics Xingyuan Hospital, Yulin City, Shaanxi Province 719000, China.ORCID https://orcid.org/0000-0002-7660-8798
Xiyuan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effect of continuous nutrition management intervention based on mobile medical APP on the nutritional status and development of premature infants. Methods: Eighty premature infants treated in our hospital from May 2019 to April 2021 were enrolled. The patients were randomly divided into the control group and research group. The control group received routine nursing, and the research group received continuous nutrition management intervention based on mobile medical APP. The Neonatal Behavioral Neurological Assessment (NBNA) score, pain score, height, weight, head circumference, intellectual development score, serum Prealbumin (PA), retinol-binding protein (RBP), and disease occurrence were elucidated. Results: First of all, the NBNA scores of the two groups were compared. The behavioral ability, passive muscle tension, active muscle tension, original reflex, and general evaluation scores of the research group were significantly higher when compared to the control. Secondly, we compared the pain scores of the two groups, there was no significant difference between the two groups before nursing ( Conclusion: The intervention strategy of continuous nutrition management based on mobile medical APP for premature infants can significantly strengthen their nutritional status after discharge, promote their growth and development, improve their nutritional status, reduce the incidence of diseases in premature infants, and then enhance their quality of life.

Indexed as

Nutritional StatusQuality of LifeBody HeightHumansInfantInfant, NewbornInfant, PrematurePain

Identifiers

PMID35979052
PMCPMC9377948
OpenAlexW4292357497

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.