Evidence map›Paper›PMID 34834472›Full record

ArticleJournal of personalized medicine2021

Thrombocytopenia as Type 1 ROP Biomarker: A Longitudinal Study.

Raffaele Parrozzani, Giulia Marchione, Alberto Fantin, Luisa Frizziero, Sabrina Salvadori, Daniel Nardo, Giulia Midena

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. The relationship between inflammatory markers and retinopathy of prematurity in extremely premature infants.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Article
  7. Review
  8. 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

7 authors at 2 institutions in 1 country.

Raffaele ParrozzaniDepartment of Neuroscience-Ophthalmology, University of Padova, 35128 Padova, Italy.ORCID 0000-0003-0216-727X
Giulia MarchioneDepartment of Neuroscience-Ophthalmology, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-9033-7170
Alberto FantinDepartment of Neuroscience-Ophthalmology, University of Padova, 35128 Padova, Italy.
Luisa FrizzieroDepartment of Neuroscience-Ophthalmology, University of Padova, 35128 Padova, Italy.
Sabrina SalvadoriDepartment of Womens' and Children Health, University of Padova, 35128 Padova, Italy.
Daniel NardoDepartment of Womens' and Children Health, University of Padova, 35128 Padova, Italy.
Giulia MidenaIRCCS, Fondazione Bietti, 00198 Rome, Italy.ORCID 0000-0003-4712-6631
University of Padua · ITFondazione G.B. Bietti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to prospectively evaluate the association between the appearance and evolution of retinopathy of prematurity (ROP) and selected blood parameters, focusing on platelets count. In total, 157 preterm consecutive babies screened for ROP were included and classified in: ROP necessitating treatment (group ROP1), ROP regressed without therapy (group ROP2) and no ROP (group no-ROP), divided in two phases for each group depending on gestational age. Blood parameters were weekly gathered and referred to postmenstrual age, ROP severity and phase. Platelet count mean values were statistically lower (

Indexed as

CRPglycemiainflammationplateletsretinopathy of prematuritythrombocytopenia

Identifiers

PMID34834472
PMCPMC8624128
OpenAlexW3210198664

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.