Evidence map›Paper›PMID 38890505›Full record

Observational studyScientific reports2024

Kidney volume-to-birth weight ratio as an estimate of nephron endowment in extremely low birth weight preterm infants.

Gabriele Villani, Pierluigi Zaza, Raffaella Lamparelli, Gianfranco Maffei

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. 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
–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

7 citing papers in PubMed.

  1. Article
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  5. Review
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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

4 authors.

Gabriele VillaniNeonatal Intensive Care Unit, Azienda Ospedaliero Universitaria Ospedali Riuniti, 71122, Foggia, Italy. gavillani@alice.it.
Pierluigi ZazaNeonatal Intensive Care Unit, Azienda Ospedaliero Universitaria Ospedali Riuniti, 71122, Foggia, Italy.
Raffaella LamparelliNeonatal Intensive Care Unit, Azienda Ospedaliero Universitaria Ospedali Riuniti, 71122, Foggia, Italy.
Gianfranco MaffeiNeonatal Intensive Care Unit, Azienda Ospedaliero Universitaria Ospedali Riuniti, 71122, Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In humans, nephrogenesis is completed by 32-36 weeks gestation, with a highly variable total number of nephrons, ranging from 200,000 to over 2 million. Premature birth disrupts the development and maturation of the kidneys, leading to a reduction in the final number of nephrons. Due to significant genetic variability in the number of nephrons among individuals, it is crucial to identify premature infants with fewer nephrons at birth as early as possible. These infants are more susceptible to developing renal failure with advancing age compared to those with a higher nephron endowment. Bedside ultrasound, an effective and non-invasive tool, is practical for identifying newborns with a lower nephron count. However, renal volume alone cannot reliably indicate the number of nephrons due to substantial variability at birth, influenced by gestational age when nephron maturation is incomplete. This variability in kidney volumes persists as newborns grow. In this observational study we hypothesize that the relationship between renal volume and birth weight may serve as an indicator of nephron endowment in premature infants with birth weight less than 1000 g. This finding could represent the basis for defining appropriate surveillance protocols and developing targeted therapeutic approaches.

Indexed as

Birth WeightGestational AgeInfant, Extremely Low Birth WeightInfant, PrematureKidneyNephronsFemaleHumansInfant, NewbornMaleOrgan SizeUltrasonography

Identifiers

PMID38890505
PMCPMC11189530

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.