Evidence map›Paper›PMID 41753355›Full record

ArticleJournal of clinical medicine2026

Early Prediction of 90-Day Periprosthetic Joint Infection After Hip Arthroplasty for Proximal Femur Fracture Using Machine Learning: Development and Temporal Validation of a Predictive Model.

Nicolò Giuseppe Biavardi, Francesco Pezone, Federico Morlini, Mattia Alessio-Mazzola, Valerio Pace, Pierluigi Antinolfi, Giacomo Placella, Vincenzo Salini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

8 authors.

Nicolò Giuseppe BiavardiDepartment of Othopaedics and Traumatology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy.ORCID 0000-0001-6333-0347
Francesco PezoneDepartment of Othopaedics and Traumatology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy.ORCID 0009-0003-5362-6824
Federico MorliniDepartment of Othopaedics and Traumatology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy.
Mattia Alessio-MazzolaDepartment of Orthopaedics and Traumatology, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
Valerio PaceTrauma & Orthopaedics Department, "MVT-Pantalla" Hospital, USL Umbria 1, Via del Buda, 06059 Pantalla, Italy.
Pierluigi AntinolfiTrauma & Orthopaedics Department, "Azienda Osp. S.M. Terni" Hospital, Viale Tristano di Joannuccio, 05100 Terni, Italy.
Giacomo PlacellaDepartment of Othopaedics and Traumatology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy.ORCID 0000-0002-7101-0404
Vincenzo SaliniDepartment of Othopaedics and Traumatology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

EBJIS 2021hip arthroplastyhip fracturemachine learningperiprosthetic joint infectionproximal femur fracturerisk predictionXGBoost

Identifiers

PMID41753355
PMCPMC12941624

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.