Evidence map›Paper›PMID 35864501›Full record

ArticleBMC pediatrics2022

Relationship of caffeine regimen with osteopenia of prematurity in preterm neonates: a cohort retrospective study.

Manoj Kumar, Amin Ali, Muhammad Azeem Khan, Sadia Sohail, Syed Muzafar Saleem, Midhat Khan, Fizzah Naz, Wasif Ahmed Khan, Muhammad Sohail Salat, Kashif Hussain and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Manoj KumarDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Amin AliDepartment of Neonatology & Paediatrics, Dow University of Health Sciences, Karachi, Pakistan.
Muhammad Azeem KhanDepartment of Neonatology & Paediatrics, Medicare Hospital, Karachi, Pakistan.
Sadia SohailDepartment of Paediatrics, Fatimiyah Hospital Paediatrics, Karachi, Pakistan.
Syed Muzafar SaleemDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Midhat KhanDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Fizzah NazDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Wasif Ahmed KhanDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Muhammad Sohail SalatDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Kashif HussainDepartment of Pharmacy, Aga Khan University Hospital, Karachi, Pakistan.
Gul AmbreenDepartment of Pharmacy, Aga Khan University Hospital, Karachi, Pakistan. gul.ambreen@aku.edu.ORCID 0000-0002-6287-6898
Aga Khan University · PKAga Khan University Hospital · PKDow University of Health Sciences · PKHoly Family Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaffeine is a routinely prescribed pharmacological active compound in neonatal intensive care units (NICU) for treating apnea of prematurity (AOP), which also decreases the risk of bronchopulmonary dysplasia and cerebral palsy in neonates. Caffeine-induced excessive calcium loss can promote the development of metabolic bone disease (MBD) in preterm neonates. This study aimed to evaluate the effect of the caffeine regimen on the development of osteopenia of prematurity (OOP), using serum alkaline phosphatase (serum-ALP) concentrations as a surrogate marker at the 4

methodsThis retrospective cohort study was conducted including neonates of < 32 weeks gestational age (GA) and birth weight < 1500 g, admitted to NICU from April-2017 to December-2018 and received caffeine therapy till 28 days of life for AOP. Based on serum-ALP levels, formed the high and low-ALP groups. Neonatal characteristics, caffeine regimen, risk factors for OOP, including duration of parenteral nutrition (PN), exposure to medicines associated with MBD, and intake of essential vitamins and minerals, were compared in both groups. Predictors of OOP were analyzed through logistic regression.

resultsFrom the total of 268 participants, 52 (19%) developed OOP, mostly female (61.5%). In the high ALP group, the serum-ALP levels were significantly higher than in the low-ALP group (725.0 ± 143.8 vs 273.6 ± 55.0 units/L, p < 0.001). The high-ALP group received significantly (p < 0.001) higher daily and cumulative caffeine doses and were associated with a higher likelihood of developing OOP in this study cohort [cumulative dose (mg) (AOR = 1.082 95% CI 1.011 to 1.157) and daily dose (mg/kg/day) (AOR = 2.892 95% CI 1.392 to 6.007)]. Smaller GA was found directly related to OOP. Among the other medical risk factors, phosphorus intake was significantly low in the high-ALP group. No, significant relationship between duration of PN and use of steroids and diuretics, and intake of vitamins and minerals were identified.

conclusionThe daily and cumulative doses of caffeine and smaller GA are associated with the development of OOP in this study cohort. Clinical randomized control studies are needed to validate the outcomes and determine the range of safest and most effective caffeine doses for treating AOP in preterm neonates.

Indexed as

Bone Diseases, MetabolicRicketsSleep Apnea SyndromesCaffeineCohort StudiesFemaleHumansInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightMaleRetrospective StudiesVitaminsCaffeineVitaminsApnea of prematurityCaffeineMetabolic bone diseaseNICUOsteopenia of prematurityPreterm neonates

Identifiers

PMID35864501
PMCPMC9306044
OpenAlexW4286110875

What OpenQuestion holds

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LicenceCC BY
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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.