Evidence map›Paper›PMID 29330395›Full record

ArticleBone marrow transplantation2018

Predicting failure of hematopoietic stem cell mobilization before it starts: the predicted poor mobilizer (pPM) score.

Jacopo Olivieri, Immacolata Attolico, Roberta Nuccorini, Sara Pasquina Pascale, Martina Chiarucci, Monica Poiani, Paolo Corradini, Lucia Farina, Gianluca Gaidano, Luca Nassi and 23 more

Abstract read
PubMed Publisher
In one paragraph

Article in Bone marrow transplantation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A German-Wide Systematic Study on Mobilization and Collection of Hematopoietic Stem Cells in Poor Mobilizer Patients with Multiple Myeloma prior to Autologous Stem Cell Transplantation.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

33 authors.

Jacopo OlivieriClinica di Ematologia, Università Politecnica delle Marche, Ancona, Italy.
Immacolata AttolicoEmatologia-Azienda Ospedaliera San Carlo, Potenza, Italy.
Roberta NuccoriniEmatologia-Azienda Ospedaliera San Carlo, Potenza, Italy.
Sara Pasquina PascaleEmatologia-Azienda Ospedaliera San Carlo, Potenza, Italy.
Martina ChiarucciClinica di Ematologia, Università Politecnica delle Marche, Ancona, Italy.
Monica PoianiClinica di Ematologia, Università Politecnica delle Marche, Ancona, Italy.
Paolo CorradiniDipartimento di Ematologia e Oncoematologia pediatrica, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.
Lucia FarinaDipartimento di Ematologia e Oncoematologia pediatrica, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.
Gianluca GaidanoDepartment of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Luca NassiDepartment of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Simona SicaUOC Ematologia, Università Cattolica del Sacro Cuore, Policlinico Agostino Gemelli, Roma, Italy.
Nicola PiccirilloUOC Ematologia, Università Cattolica del Sacro Cuore, Policlinico Agostino Gemelli, Roma, Italy.
Pietro Enrico PioltelliClinica Ematologica, A.O. San Gerardo, Monza, Italy.
Massimo MartinoHematology and Stem Cell Transplant, Azienda Ospedaliera BMM, Reggio Calabria, Italy.
Tiziana MoscatoHematology and Stem Cell Transplant, Azienda Ospedaliera BMM, Reggio Calabria, Italy.
Massimo PiniEmatologia, AON SS Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Francesco ZallioEmatologia, AON SS Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Fabio CiceriOspedale San Raffaele, Haematology and BMT, Milano, Italy.
Sarah MarktelOspedale San Raffaele, Haematology and BMT, Milano, Italy.
Andrea MengarelliEmatologia-IFO Istituto Nazionale Tumori Regina Elena, Roma, Italy.
Pellegrino MustoIRCCS, Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy.
Saveria CapriaEmatologia, Università sapienza, Roma, Italy.
Francesco MerliArcispedale Santa Maria Nuova-IRCCS, Reggio Emilia, Italy.
Katia CodeluppiArcispedale Santa Maria Nuova-IRCCS, Reggio Emilia, Italy.
Giuseppe MeleUOC di Ematologia e Unità Trapianti, Osp. Antonio Perrino, Brindisi, Italy.
Francesco LanzaHematology and Stem Cell Transplant, Ravenna Hospital, Ravenna, Italy.
Giorgina SpecchiaUO Ematologia con Trapianto, AOU Policlinico Consorziale, Bari, Italy.
Domenico PastoreUO Ematologia con Trapianto, AOU Policlinico Consorziale, Bari, Italy.
Giuseppe MiloneDipartimento di Ematologia, Unità Trapianto di Midollo Osseo, Azienda Ospedaliera Policlinico Vittorio Emanuele, Catania, Italy.ORCID http://orcid.org/0000-0002-7840-4414
Francesco SaraceniHematology and Stem Cell Transplant, Ravenna Hospital, Ravenna, Italy.
Elvira Di NardoDipartimento di matematica "G. Peano", Università di Torino, Torino, Italy.
Paolo PerseghinClinica Ematologica, A.O. San Gerardo, Monza, Italy.
Attilio OlivieriClinica di Ematologia, Università Politecnica delle Marche, Ancona, Italy. a.olivieri@univpm.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting mobilization failure before it starts may enable patient-tailored strategies. Although consensus criteria for predicted PM (pPM) are available, their predictive performance has never been measured on real data. We retrospectively collected and analyzed 1318 mobilization procedures performed for MM and lymphoma patients in the plerixafor era. In our sample, 180/1318 (13.7%) were PM. The score resulting from published pPM criteria had sufficient performance for predicting PM, as measured by AUC (0.67, 95%CI: 0.63-0.72). We developed a new prediction model from multivariate analysis whose score (pPM-score) resulted in better AUC (0.80, 95%CI: 0.76-0.84, p < 0001). pPM-score included as risk factors: increasing age, diagnosis of NHL, positive bone marrow biopsy or cytopenias before mobilization, previous mobilization failure, priming strategy with G-CSF alone, or without upfront plerixafor. A simplified version of pPM-score was categorized using a cut-off to maximize positive likelihood ratio (15.7, 95%CI: 9.9-24.8); specificity was 98% (95%CI: 97-98.7%), sensitivity 31.7% (95%CI: 24.9-39%); positive predictive value in our sample was 71.3% (95%CI: 60-80.8%). Simplified pPM-score can "rule in" patients at very high risk for PM before starting mobilization, allowing changes in clinical management, such as choice of alternative priming strategies, to avoid highly likely mobilization failure.

Indexed as

Patient SelectionPredictive Value of TestsAdolescentAdultAgedArea Under CurveChildChild, PreschoolFemaleHematopoietic Stem Cell MobilizationHumansMaleMiddle AgedMultiple MyelomaRetrospective StudiesRisk Factors

Identifiers

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.