Evidence map›Paper›PMID 27793849›Full record

ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2016

Predictive modeling of the outcomes of chemotherapy-induced (febrile) neutropenia prophylaxis with biosimilar filgrastim (MONITOR-GCSF study).

M Aapro, H Ludwig, C Bokemeyer, P Gascón, M Boccadoro, K Denhaerynck, A Krendyukov, M Gorray, K MacDonald, I Abraham

Open access · bronzeAbstract read
In one paragraph

Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 35 citations in OpenAlex.

  1. Effectiveness and safety of pegylated filgrastim (Pelgraz®) for the prevention of febrile neutropenia during cancer chemotherapy in all-day practice in Germany.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  7. Development of a simplified multivariable model to predict neutropenic complications in cancer patients undergoing chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
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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

10 authors at 7 institutions in 6 countries.

M AaproInstitut Multidisciplinaire d'Oncologie, Clinique de Genolier, Genolier, Switzerland maapro@genolier.net.
H LudwigMedizinische Abteilung I-Oncology and Hematology, Wilhelminenspital, Wien, Austria.
C BokemeyerDepartment of Oncology, Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany.
P GascónDivision of Medical Oncology, Department of Hematology-Oncology, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain.
M BoccadoroDepartment of Oncology and Hematology, Azienda Ospedaliero Universitaria S. Giovanni Battista di Torino, Torino, Italy.
K DenhaerynckMatrix45, Tucson, AZ, USA.
A KrendyukovHexal AG, Holzkirchen, Germany.
M GorrayHexal AG, Holzkirchen, Germany.
K MacDonaldMatrix45, Tucson, AZ, USA.
I AbrahamMatrix45, Tucson, AZ, USA.
Matrix Research (United States) · USHexal (Germany) · DEAzienda Ospedaliero Universitaria San Giovanni Battista · ITClinique de Genolier · CHEppendorf (Germany) · DEHospital Clínic de Barcelona · ESWilhelminen Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk models of chemotherapy-induced (CIN) and febrile neutropenia (FN) have to date focused on determinants measured at the start of chemotherapy. We extended this static approach with a dynamic approach of CIN/FN risk modeling at the start of each cycle.

designWe applied predictive modeling using multivariate logistic regression to identify determinants of CIN/FN episodes and related hospitalizations and chemotherapy disturbances (CIN/FN consequences) in analyses at the patient ('ever' during the whole period of chemotherapy) and cycle-level (during a given chemotherapy cycle). Statistical dependence of cycle data being 'nested' under patients was managed using generalized estimation equations. Predictive performance of each model was evaluated using bootstrapped c concordance statistics.

resultsStatic patient-level risk models of 'ever' experiencing CIN/FN adverse events and consequences during a planned chemotherapy regimen included predictors related to history, risk factors, and prophylaxis initiation and intensity. Dynamic cycle-level risk models of experiencing CIN/FN adverse events and consequences in an upcoming cycle included predictors related to history, risk factors, and prophylaxis initiation and intensity; as well as prophylaxis duration, CIN/FN in prior cycle, and treatment center characteristics.

conclusionsThese 'real-world evidence' models provide clinicians with the ability to anticipate CIN/FN adverse events and their consequences at the start of a chemotherapy line (static models); and, innovatively, to assess risk of CIN/FN adverse events and their consequences at the start of each cycle (dynamic models). This enables individualized patient treatment and is consistent with the EORTC recommendation to re-appraise CIN/FN risk at the start of each cycle. Prophylaxis intensity (under-, correctly-, or over-prophylacted relative to current EORTC guidelines) is a major determinant. Under-prophylaxis is clinically unsafe. Over-prophylaxis of patients administered chemotherapy with intermediate or low myelotoxicity levels may be beneficial, both in patients with and without risk factors, and must be validated in future studies.

Indexed as

AdultAgedBiosimilar PharmaceuticalsDrug-Related Side Effects and Adverse ReactionsFebrile NeutropeniaFemaleFilgrastimGranulocyte Colony-Stimulating FactorHumansLogistic ModelsMaleMiddle AgedModels, StatisticalRisk FactorsBiosimilar PharmaceuticalsFilgrastimGranulocyte Colony-Stimulating Factorbiosimilarchemotherapy-induced neutropeniafebrile neutropeniafilgrastimgranulocyte colony-stimulating factormodeling

Identifiers

PMID27793849
PMCPMC5091320
OpenAlexW2543518004

What OpenQuestion holds

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LicenceCC BY-NC
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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.