Evidence map›Paper›PMID 41464167›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Machine Learning Techniques for the Analysis of the Influence of Blood Gasometry Parameters on Acid-Base Homeostasis in Pediatric Patients.

Maria Dybała, Alicja Bartkowska-Śniatkowska, Krzysztof Pietrzkiewicz, Anna Wiernik, Jowita Rosada-Kurasińska, Tomasz Piontek, Ariel Oleksiak, Andrzej Czyrski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Maria DybałaPoznan University of Medical Sciences, Department of Physical Pharmacy and Pharmacokinetics, Rokietnicka 3 Street, 60-806 Poznań, Poland.
Alicja Bartkowska-ŚniatkowskaPoznan University of Medical Sciences, Department of Pediatric Anesthesiology and Intensive Care, Szpitalna 27/33 Street, 60-572 Poznań, Poland.ORCID 0000-0003-4950-2346
Krzysztof PietrzkiewiczPoznan University of Medical Sciences, Department of Pediatric Anesthesiology and Intensive Care, Szpitalna 27/33 Street, 60-572 Poznań, Poland.ORCID 0000-0002-1805-3114
Anna WiernikPoznan University of Medical Sciences, Department of Pediatric Anesthesiology and Intensive Care, Szpitalna 27/33 Street, 60-572 Poznań, Poland.ORCID 0009-0005-2976-4359
Jowita Rosada-KurasińskaPoznan University of Medical Sciences, Department of Pediatric Anesthesiology and Intensive Care, Szpitalna 27/33 Street, 60-572 Poznań, Poland.ORCID 0000-0002-8116-4028
Tomasz PiontekPoznan Supercoputing and Networking Center, Jana Pawła II 10 Street, 61-139 Poznań, Poland.ORCID 0000-0003-0147-3996
Ariel OleksiakPoznan Supercoputing and Networking Center, Jana Pawła II 10 Street, 61-139 Poznań, Poland.ORCID 0000-0001-6724-4171
Andrzej CzyrskiPoznan University of Medical Sciences, Department of Physical Pharmacy and Pharmacokinetics, Rokietnicka 3 Street, 60-806 Poznań, Poland.ORCID 0000-0003-1581-8326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

acidosisalkalosisarterial blood gasartificial neural networksLASSO regressionpediatric intensive care unit

Identifiers

PMID41464167
PMCPMC12732197

What OpenQuestion holds

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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.