Evidence map›Paper›PMID 42739919›Full record

ReviewJournal of clinical medicine2026

The Predictive Paradigm in Perioperative Hemodynamic Management: The Role of Artificial Intelligence in Major Spine Surgery.

Gianluigi Cosenza, Marco Fiore, Roberto Giurazza, Vincenzo Pota, Francesco Coppolino, Pasquale Sansone, Maria Caterina Pace

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gianluigi CosenzaDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.ORCID 0009-0002-1480-1573
Marco FioreDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.ORCID 0000-0001-7263-0229
Roberto GiurazzaDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.ORCID 0009-0006-8175-7129
Vincenzo PotaDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.ORCID 0000-0001-9999-3388
Francesco CoppolinoDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.ORCID 0000-0002-1362-7393
Pasquale SansoneDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.ORCID 0000-0003-0873-3586
Maria Caterina PaceDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencehemodynamic managementHypotension Prediction Index (HPI)machine learningmajor spine surgerypredictive anesthesia

Identifiers

PMID42739919
PMCPMC13565961

What OpenQuestion holds

Textmetadata
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.