Evidence map›Paper›PMID 41930300›Full record

ArticleESMO real world data and digital oncology2026

Predictors of acute lymphopenia after radiotherapy for prostate cancer including pelvic node irradiation: results of a real-world prospective multi-centric study.

V Vavassori, M Pavarini, L Alborghetti, S Aimonetto, A Maggio, V Landoni, P Ferrari, A Bianculli, E Petrucci, A Cicchetti and 19 more

Abstract read
In one paragraph

Article in ESMO real world data and digital oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

29 authors.

V VavassoriCliniche Gavazzeni-Humanitas, Radiotherapy Department, Bergamo, Italy.
M PavariniIRCCS San Raffaele Scientific Institute, Medical Physics Department, Milano, Italy.
L AlborghettiIRCCS San Raffaele Scientific Institute, Medical Physics Department, Milano, Italy.
S AimonettoOspedale Regionale Parini-AUSL Valle d'Aosta, Medical Physics Department, Aosta, Italy.
A MaggioIstituto di Candiolo - Fondazione del Piemonte per l'Oncologia IRCCS, Medical Physics Department, Candiolo, Italy.
V LandoniIRCCS Istituto Nazionale Tumori Regina Elena, UOSD Laboratorio di Fisica Medica e Sistemi Esperti, Roma, Italy.
P FerrariComprensorio Sanitario di Bolzano, Medical Physics Department, Bolzano, Italy.
A BianculliIRCCS CROB, Medical Physics Department, Rionero in Vulture, Italy.
E PetrucciASL TO4 Ospedale di Ivrea, Medical Physics Department, Ivrea, Italy.
A CicchettiFondazione IRCCS Istituto Nazionale dei Tumori, Unit of Data Science, Milano, Italy.
B FarinaOspedale Degli Infermi, Medical Physics Department, Biella, Italy.
M G Ubeira-GabelliniIRCCS San Raffaele Scientific Institute, Medical Physics Department, Milano, Italy.
P SalmoiraghiCliniche Gavazzeni-Humanitas, Medical Physics Department, Bergamo, Italy.
E MorettiAzienda Sanitaria Universitaria Friuli Centrale, Medical Physics Department, Udine, Italy.
B AvuzziFondazione IRCCS Istituto Nazionale dei Tumori, Radiotherapy Department, Milano, Italy.
T GiandiniFondazione IRCCS Istituto Nazionale dei Tumori, Medical Physics Department, Milano, Italy.
F MunozOspedale Regionale Parini-AUSL Valle d'Aosta, Department of Radiation Oncology, Aosta, Italy.
A MagliAzienda Ospedaliero Universitaria S. Maria della Misericordia, Department of Radiotherapy, Udine, Italy.
B Noris ChiordaFondazione IRCCS Istituto Nazionale dei Tumori, Radiotherapy Department, Milano, Italy.
G SanguinetiIRCCS Regina Elena National Cancer Institute, Department of Radiation Oncology, Roma, Italy.
J M WaskiewiczComprensorio Sanitario di Bolzano, Radiotherapy, Bolzano, Italy.
L RagoIRCCS Crob, Radiotherapy, Rionero in Vulture, Italy.
D CanteASL TO4 Ospedale di Ivrea, Radiotherapy, Ivrea, Italy.
G GirelliOspedale degli Infermi, Department of Radiotherapy, Biella, Italy.
E VillaCliniche Gavazzeni-Humanitas, Radiotherapy Department, Bergamo, Italy.
N G Di MuzioVita-Salute San Raffaele University, Milano, Italy.
T RancatiFondazione IRCCS Istituto Nazionale dei Tumori, Unit of Data Science, Milano, Italy.
C FiorinoIRCCS San Raffaele Scientific Institute, Medical Physics Department, Milano, Italy.
C CozzariniIRCCS San Raffaele Scientific Institute, Department of Raiation Oncology, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute lymphopenia (AL) is a clinically relevant concern in patients undergoing pelvic lymph-node irradiation (PNI) for prostate cancer (PCa) and reliable predictive models are not available. The purpose of the current analysis was to develop a predictive model of AL after PNI for PCa combining dosimetric and clinical information in a large, prospectively followed cohort. Materials and methods: Clinical/dosimetry/blood test data from a multi-centric prospective study were available, including absolute lymphocyte count (ALC) at baseline, mid-point and radiotherapy (RT) end. Dose-volume histograms (DVHs) of the body and of pelvic bones were extracted, as well as the integral dose (ID) to the body. Lymph-nodal planning target volume (LN-PTV) and its cranial limit were also recovered. The current analysis focused on acute CTCAEv4.03 grade ≥ 3 (G3+) lymphopenia (ALC < 500/μl), defined as the lowest count between baseline and mid-point or RT end. The patient population was split into training and validation cohorts, and a multivariable logistic regression model combining DVHs and clinical information was trained and validated. Results: 700/887 patients with full 3D planning data and available baseline, mid-point and RT end counts were considered. 290 patients (41.4%) experienced acute G3+ lymphopenia. Both ID and pelvic bone DVH parameters were significantly associated with the endpoint. The two best resulting models included baseline ALC (OR = 0.999, Conclusions: Severe AL after PNI for PCa is largely modulated by baseline ALC, with an independent role of the LN-PTV cranial limit or, alternatively, of ID, with the risk increasing by 5%-10% per 10

Indexed as

hematological toxicityintegral doselymphopeniapredictive modelsprostate cancerradiotherapy

Identifiers

PMID41930300
PMCPMC13040934

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