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Laboratory survival and blood feeding response of wild-caught Culicoides obsoletus Complex (Diptera: Ceratopogonidae) through natural and artificial membranes.

Veterinaria italiana

Goffredo M, Romeo G, Monaco F, Di Gennaro A, Savini G.
PMID: 20419679
Vet Ital. 2004 Jul-Sep;40(3):282-5.

In late summer 2002, live wild-caught midges of the Obsoletus Complex were collected using blacklight traps placed at a horse stable in Teramo (Abruzzo, Italy). For the survival study under laboratory conditions, 1,500 Obsoletus Complex midges were kept at...

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Goffredo M, Romeo G, Monaco F, et al. Laboratory survival and blood feeding response of wild-caught Culicoides obsoletus Complex (Diptera: Ceratopogonidae) through natural and artificial membranes. Vet Ital. 2004;40(3):282-5
Goffredo, M., Romeo, G., Monaco, F., Di Gennaro, A., & Savini, G. (2004). Laboratory survival and blood feeding response of wild-caught Culicoides obsoletus Complex (Diptera: Ceratopogonidae) through natural and artificial membranes. Veterinaria italiana, 40(3), 282-5.
Goffredo, M, et al. "Laboratory survival and blood feeding response of wild-caught Culicoides obsoletus Complex (Diptera: Ceratopogonidae) through natural and artificial membranes." Veterinaria italiana vol. 40,3 (2004): 282-5.
Goffredo M, Romeo G, Monaco F, Di Gennaro A, Savini G. Laboratory survival and blood feeding response of wild-caught Culicoides obsoletus Complex (Diptera: Ceratopogonidae) through natural and artificial membranes. Vet Ital. 2004 Jul-Sep;40(3):282-5. PMID: 20419679.
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Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards.

Environment systems & decisions

Jovanović A, Klimek P, Renn O, Schneider R, Øien K, Brown J, DiGennaro M, Liu Y, Pfau V, Jelić M, Rosen T, Caillard B, Chakravarty S, Chhantyal P.
PMID: 32837821
Environ Syst Decis. 2020 Jun 04;1-35. doi: 10.1007/s10669-020-09779-8. Epub 2020 Jun 04.

In the moment of preparation of this paper, the world is still globally in grip of the Corona (COVID-19) crisis, and the need to understand the broader overall framework of the crisis increases. As in similar cases in the...

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Jovanović A, Klimek P, Renn O, et al. Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards. Environ Syst Decis. 2020;1-35doi: 10.1007/s10669-020-09779-8.
Jovanović, A., Klimek, P., Renn, O., Schneider, R., Øien, K., Brown, J., DiGennaro, M., Liu, Y., Pfau, V., Jelić, M., Rosen, T., Caillard, B., Chakravarty, S., & Chhantyal, P. (2020). Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards. Environment systems & decisions, 1-35. https://doi.org/10.1007/s10669-020-09779-8
Jovanović, A, et al. "Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards." Environment systems & decisions vol. (2020): 1-35. doi: https://doi.org/10.1007/s10669-020-09779-8
Jovanović A, Klimek P, Renn O, Schneider R, Øien K, Brown J, DiGennaro M, Liu Y, Pfau V, Jelić M, Rosen T, Caillard B, Chakravarty S, Chhantyal P. Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards. Environ Syst Decis. 2020 Jun 04;1-35. doi: 10.1007/s10669-020-09779-8. Epub 2020 Jun 04. PMID: 32837821; PMCID: PMC7271643.
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Peptide signaling molecules CLE5 and CLE6 affect Arabidopsis leaf shape downstream of leaf patterning transcription factors and auxin.

Plant direct

DiGennaro P, Grienenberger E, Dao TQ, Jun JH, Fletcher JC.
PMID: 31245702
Plant Direct. 2018 Dec 20;2(12):e00103. doi: 10.1002/pld3.103. eCollection 2018 Dec.

Intercellular signaling mediated by small peptides is critical to coordinate organ formation in animals, but whether extracellular polypeptides play similar roles in plants is unknown. Here we describe a role in Arabidopsis leaf development for two members of the...

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DiGennaro P, Grienenberger E, Dao TQ, et al. Peptide signaling molecules CLE5 and CLE6 affect Arabidopsis leaf shape downstream of leaf patterning transcription factors and auxin. Plant Direct. 2018;2(12):e00103doi: 10.1002/pld3.103.
DiGennaro, P., Grienenberger, E., Dao, T. Q., Jun, J. H., & Fletcher, J. C. (2018). Peptide signaling molecules CLE5 and CLE6 affect Arabidopsis leaf shape downstream of leaf patterning transcription factors and auxin. Plant direct, 2(12), e00103. https://doi.org/10.1002/pld3.103
DiGennaro, Peter, et al. "Peptide signaling molecules CLE5 and CLE6 affect Arabidopsis leaf shape downstream of leaf patterning transcription factors and auxin." Plant direct vol. 2,12 (2018): e00103. doi: https://doi.org/10.1002/pld3.103
DiGennaro P, Grienenberger E, Dao TQ, Jun JH, Fletcher JC. Peptide signaling molecules CLE5 and CLE6 affect Arabidopsis leaf shape downstream of leaf patterning transcription factors and auxin. Plant Direct. 2018 Dec 20;2(12):e00103. doi: 10.1002/pld3.103. eCollection 2018 Dec. PMID: 31245702; PMCID: PMC6508849.
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Effect Modifiers of Low-Dose Tamoxifen in a Randomized Trial in Breast Noninvasive Disease.

Clinical cancer research : an official journal of the American Association for Cancer Research

DeCensi A, Puntoni M, Johansson H, Guerrieri-Gonzaga A, Caviglia S, Avino F, Cortesi L, Ponti A, Pacquola MG, Falcini F, Gulisano M, Digennaro M, Cariello A, Cagossi K, Pinotti G, Lazzeroni M, Serrano D, Briata IM, Buttiron Webber T, Boni L, Bonanni B.
PMID: 33608319
Clin Cancer Res. 2021 Jul 01;27(13):3576-3583. doi: 10.1158/1078-0432.CCR-20-4213. Epub 2021 Feb 19.

PURPOSE: Low-dose tamoxifen halved recurrence after surgery in a phase III trial in breast noninvasive disease without increasing adverse events. We explored the effect of low-dose tamoxifen in clinically relevant subgroups, including menopausal status, estradiol levels, smoking, body mass...

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DeCensi A, Puntoni M, Johansson H, et al. Effect Modifiers of Low-Dose Tamoxifen in a Randomized Trial in Breast Noninvasive Disease. Clin Cancer Res. 2021;27(13):3576-3583doi: 10.1158/1078-0432.CCR-20-4213.
DeCensi, A., Puntoni, M., Johansson, H., Guerrieri-Gonzaga, A., Caviglia, S., Avino, F., Cortesi, L., Ponti, A., Pacquola, M. G., Falcini, F., Gulisano, M., Digennaro, M., Cariello, A., Cagossi, K., Pinotti, G., Lazzeroni, M., Serrano, D., Briata, I. M., Buttiron Webber, T., Boni, L., & Bonanni, B. (2021). Effect Modifiers of Low-Dose Tamoxifen in a Randomized Trial in Breast Noninvasive Disease. Clinical cancer research : an official journal of the American Association for Cancer Research, 27(13), 3576-3583. https://doi.org/10.1158/1078-0432.CCR-20-4213
DeCensi, Andrea, et al. "Effect Modifiers of Low-Dose Tamoxifen in a Randomized Trial in Breast Noninvasive Disease." Clinical cancer research : an official journal of the American Association for Cancer Research vol. 27,13 (2021): 3576-3583. doi: https://doi.org/10.1158/1078-0432.CCR-20-4213
DeCensi A, Puntoni M, Johansson H, Guerrieri-Gonzaga A, Caviglia S, Avino F, Cortesi L, Ponti A, Pacquola MG, Falcini F, Gulisano M, Digennaro M, Cariello A, Cagossi K, Pinotti G, Lazzeroni M, Serrano D, Briata IM, Buttiron Webber T, Boni L, Bonanni B. Effect Modifiers of Low-Dose Tamoxifen in a Randomized Trial in Breast Noninvasive Disease. Clin Cancer Res. 2021 Jul 01;27(13):3576-3583. doi: 10.1158/1078-0432.CCR-20-4213. Epub 2021 Feb 19. PMID: 33608319.
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Changes in characteristics of drug overdose death trends during the COVID-19 pandemic.

The International journal on drug policy

DiGennaro C, Garcia GP, Stringfellow EJ, Wakeman S, Jalali MS.
PMID: 34325184
Int J Drug Policy. 2021 Jul 20;98:103392. doi: 10.1016/j.drugpo.2021.103392. Epub 2021 Jul 20.

BACKGROUND: Reports analyzing drug overdose (OD) mortality data during the COVID-19 pandemic are limited. Outcomes across states are heterogenous, necessitating assessments of associations between COVID-19 and OD deaths on a state-by-state level. This report aims to analyze trends in...

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DiGennaro C, Garcia GP, Stringfellow EJ, et al. Changes in characteristics of drug overdose death trends during the COVID-19 pandemic. Int J Drug Policy. 2021;98:103392doi: 10.1016/j.drugpo.2021.103392.
DiGennaro, C., Garcia, G. P., Stringfellow, E. J., Wakeman, S., & Jalali, M. S. (2021). Changes in characteristics of drug overdose death trends during the COVID-19 pandemic. The International journal on drug policy, 98103392. https://doi.org/10.1016/j.drugpo.2021.103392
DiGennaro, Catherine, et al. "Changes in characteristics of drug overdose death trends during the COVID-19 pandemic." The International journal on drug policy vol. 98 (2021): 103392. doi: https://doi.org/10.1016/j.drugpo.2021.103392
DiGennaro C, Garcia GP, Stringfellow EJ, Wakeman S, Jalali MS. Changes in characteristics of drug overdose death trends during the COVID-19 pandemic. Int J Drug Policy. 2021 Jul 20;98:103392. doi: 10.1016/j.drugpo.2021.103392. Epub 2021 Jul 20. PMID: 34325184.
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The need for a prediction model assessment framework - Authors' reply.

The Lancet. Global health

Jalali MS, DiGennaro C, Sridhar D.
PMID: 33581048
Lancet Glob Health. 2021 Apr;9(4):e405. doi: 10.1016/S2214-109X(21)00021-8. Epub 2021 Feb 10.

No abstract available.

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Jalali MS, DiGennaro C, Sridhar D. The need for a prediction model assessment framework - Authors' reply. Lancet Glob Health. 2021;9(4):e405doi: 10.1016/S2214-109X(21)00021-8.
Jalali, M. S., DiGennaro, C., & Sridhar, D. (2021). The need for a prediction model assessment framework - Authors' reply. The Lancet. Global health, 9(4), e405. https://doi.org/10.1016/S2214-109X(21)00021-8
Jalali, Mohammad S, et al. "The need for a prediction model assessment framework - Authors' reply." The Lancet. Global health vol. 9,4 (2021): e405. doi: https://doi.org/10.1016/S2214-109X(21)00021-8
Jalali MS, DiGennaro C, Sridhar D. The need for a prediction model assessment framework - Authors' reply. Lancet Glob Health. 2021 Apr;9(4):e405. doi: 10.1016/S2214-109X(21)00021-8. Epub 2021 Feb 10. PMID: 33581048.
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Changes in characteristics of drug overdose death trends during the COVID-19 pandemic.

The International journal on drug policy

DiGennaro C, Garcia GP, Stringfellow EJ, Wakeman S, Jalali MS.
PMID: 34325184
Int J Drug Policy. 2021 Dec;98:103392. doi: 10.1016/j.drugpo.2021.103392. Epub 2021 Jul 20.

BACKGROUND: Reports analyzing drug overdose (OD) mortality data during the COVID-19 pandemic are limited. Outcomes across states are heterogenous, necessitating assessments of associations between COVID-19 and OD deaths on a state-by-state level. This report aims to analyze trends in...

Cite
DiGennaro C, Garcia GP, Stringfellow EJ, et al. Changes in characteristics of drug overdose death trends during the COVID-19 pandemic. Int J Drug Policy. 2021;98:103392doi: 10.1016/j.drugpo.2021.103392.
DiGennaro, C., Garcia, G. P., Stringfellow, E. J., Wakeman, S., & Jalali, M. S. (2021). Changes in characteristics of drug overdose death trends during the COVID-19 pandemic. The International journal on drug policy, 98103392. https://doi.org/10.1016/j.drugpo.2021.103392
DiGennaro, Catherine, et al. "Changes in characteristics of drug overdose death trends during the COVID-19 pandemic." The International journal on drug policy vol. 98 (2021): 103392. doi: https://doi.org/10.1016/j.drugpo.2021.103392
DiGennaro C, Garcia GP, Stringfellow EJ, Wakeman S, Jalali MS. Changes in characteristics of drug overdose death trends during the COVID-19 pandemic. Int J Drug Policy. 2021 Dec;98:103392. doi: 10.1016/j.drugpo.2021.103392. Epub 2021 Jul 20. PMID: 34325184.
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Treatment burden as a predictor of self-management adherence within the primary care population.

Applied nursing research : ANR

Schreiner N, DiGennaro S, Harwell C, Burant C, Daly B, Douglas S.
PMID: 32650885
Appl Nurs Res. 2020 Aug;54:151301. doi: 10.1016/j.apnr.2020.151301. Epub 2020 May 15.

PURPOSE: We aimed to (1) describe the amount of treatment burden experienced in the primary care population diagnosed with chronic conditions and (2) examine if cumulative and task-specific treatment burden were predictors of medication, exercise, and dietary adherence in...

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Schreiner N, DiGennaro S, Harwell C, et al. Treatment burden as a predictor of self-management adherence within the primary care population. Appl Nurs Res. 2020;54:151301doi: 10.1016/j.apnr.2020.151301.
Schreiner, N., DiGennaro, S., Harwell, C., Burant, C., Daly, B., & Douglas, S. (2020). Treatment burden as a predictor of self-management adherence within the primary care population. Applied nursing research : ANR, 54151301. https://doi.org/10.1016/j.apnr.2020.151301
Schreiner, Nathanial, et al. "Treatment burden as a predictor of self-management adherence within the primary care population." Applied nursing research : ANR vol. 54 (2020): 151301. doi: https://doi.org/10.1016/j.apnr.2020.151301
Schreiner N, DiGennaro S, Harwell C, Burant C, Daly B, Douglas S. Treatment burden as a predictor of self-management adherence within the primary care population. Appl Nurs Res. 2020 Aug;54:151301. doi: 10.1016/j.apnr.2020.151301. Epub 2020 May 15. PMID: 32650885.
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Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century.

Epidemiologic reviews

Jalali MS, DiGennaro C, Guitar A, Lew K, Rahmandad H.
PMID: 34505122
Epidemiol Rev. 2022 Jan 14;43(1):166-175. doi: 10.1093/epirev/mxab006.

Simulation models are increasingly being used to inform epidemiologic studies and health policy, yet there is great variation in their transparency and reproducibility. In this review, we provide an overview of applications of simulation models in health policy and...

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Jalali MS, DiGennaro C, Guitar A, et al. Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century. Epidemiol Rev. 2022;43(1):166-175doi: 10.1093/epirev/mxab006.
Jalali, M. S., DiGennaro, C., Guitar, A., Lew, K., & Rahmandad, H. (2022). Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century. Epidemiologic reviews, 43(1), 166-175. https://doi.org/10.1093/epirev/mxab006
Jalali, Mohammad S, et al. "Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century." Epidemiologic reviews vol. 43,1 (2022): 166-175. doi: https://doi.org/10.1093/epirev/mxab006
Jalali MS, DiGennaro C, Guitar A, Lew K, Rahmandad H. Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century. Epidemiol Rev. 2022 Jan 14;43(1):166-175. doi: 10.1093/epirev/mxab006. PMID: 34505122.
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Somatic BRCA Mutation in a Cholangiocarcinoma Patient for HBOC Syndrome Detection.

Frontiers in oncology

Paradiso AV, Patruno M, Digennaro M, Tommasi S, Pilato B, Argentiero A, Brunetti O, Silvestris N.
PMID: 32903564
Front Oncol. 2020 Aug 12;10:1292. doi: 10.3389/fonc.2020.01292. eCollection 2020.

BRCA-associated hereditary breast and ovarian cancer syndrome (HBOC) is characterized by an increased risk of developing other malignancies including cholangiocarcinoma (CCA). Somatic BRCA mutations have been reported in CCA, but they have yet to be utilized in a proband...

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Paradiso AV, Patruno M, Digennaro M, et al. Somatic BRCA Mutation in a Cholangiocarcinoma Patient for HBOC Syndrome Detection. Front Oncol. 2020;10:1292doi: 10.3389/fonc.2020.01292.
Paradiso, A. V., Patruno, M., Digennaro, M., Tommasi, S., Pilato, B., Argentiero, A., Brunetti, O., & Silvestris, N. (2020). Somatic BRCA Mutation in a Cholangiocarcinoma Patient for HBOC Syndrome Detection. Frontiers in oncology, 101292. https://doi.org/10.3389/fonc.2020.01292
Paradiso, Angelo Virgilio, et al. "Somatic BRCA Mutation in a Cholangiocarcinoma Patient for HBOC Syndrome Detection." Frontiers in oncology vol. 10 (2020): 1292. doi: https://doi.org/10.3389/fonc.2020.01292
Paradiso AV, Patruno M, Digennaro M, Tommasi S, Pilato B, Argentiero A, Brunetti O, Silvestris N. Somatic BRCA Mutation in a Cholangiocarcinoma Patient for HBOC Syndrome Detection. Front Oncol. 2020 Aug 12;10:1292. doi: 10.3389/fonc.2020.01292. eCollection 2020. PMID: 32903564; PMCID: PMC7438755.
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Can harmful lifestyle, obesity and weight changes increase the risk of breast cancer in BRCA 1 and BRCA 2 mutation carriers? A Mini review.

Hereditary cancer in clinical practice

Daniele A, Divella R, Pilato B, Tommasi S, Pasanisi P, Patruno M, Digennaro M, Minoia C, Dellino M, Pisconti S, Casamassima P, Savino E, Paradiso AV.
PMID: 34706754
Hered Cancer Clin Pract. 2021 Oct 27;19(1):45. doi: 10.1186/s13053-021-00199-6.

BACKGROUND AND AIM: The BRCA 1 and BRCA 2 genes are associated with an inherited susceptibility to breast cancer with a cumulative risk of 60% in BRCA 1 mutation carriers and of 30% in BRCA 2 mutation carriers. Several...

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Daniele A, Divella R, Pilato B, et al. Can harmful lifestyle, obesity and weight changes increase the risk of breast cancer in BRCA 1 and BRCA 2 mutation carriers? A Mini review. Hered Cancer Clin Pract. 2021;19(1):45doi: 10.1186/s13053-021-00199-6.
Daniele, A., Divella, R., Pilato, B., Tommasi, S., Pasanisi, P., Patruno, M., Digennaro, M., Minoia, C., Dellino, M., Pisconti, S., Casamassima, P., Savino, E., & Paradiso, A. V. (2021). Can harmful lifestyle, obesity and weight changes increase the risk of breast cancer in BRCA 1 and BRCA 2 mutation carriers? A Mini review. Hereditary cancer in clinical practice, 19(1), 45. https://doi.org/10.1186/s13053-021-00199-6
Daniele, A, et al. "Can harmful lifestyle, obesity and weight changes increase the risk of breast cancer in BRCA 1 and BRCA 2 mutation carriers? A Mini review." Hereditary cancer in clinical practice vol. 19,1 (2021): 45. doi: https://doi.org/10.1186/s13053-021-00199-6
Daniele A, Divella R, Pilato B, Tommasi S, Pasanisi P, Patruno M, Digennaro M, Minoia C, Dellino M, Pisconti S, Casamassima P, Savino E, Paradiso AV. Can harmful lifestyle, obesity and weight changes increase the risk of breast cancer in BRCA 1 and BRCA 2 mutation carriers? A Mini review. Hered Cancer Clin Pract. 2021 Oct 27;19(1):45. doi: 10.1186/s13053-021-00199-6. PMID: 34706754; PMCID: PMC8554866.
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A Systematic Review of Simulation Models to Track and Address the Opioid Crisis.

Epidemiologic reviews

Cerdá M, Jalali MS, Hamilton AD, DiGennaro C, Hyder A, Santaella-Tenorio J, Kaur N, Wang C, Keyes KM.
PMID: 34791110
Epidemiol Rev. 2022 Jan 14;43(1):147-165. doi: 10.1093/epirev/mxab013.

The opioid overdose crisis is driven by an intersecting set of social, structural, and economic forces. Simulation models are a tool to help us understand and address thiscomplex, dynamic, and nonlinear social phenomenon. We conducted a systematic review of...

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Cerdá M, Jalali MS, Hamilton AD, et al. A Systematic Review of Simulation Models to Track and Address the Opioid Crisis. Epidemiol Rev. 2022;43(1):147-165doi: 10.1093/epirev/mxab013.
Cerdá, M., Jalali, M. S., Hamilton, A. D., DiGennaro, C., Hyder, A., Santaella-Tenorio, J., Kaur, N., Wang, C., & Keyes, K. M. (2022). A Systematic Review of Simulation Models to Track and Address the Opioid Crisis. Epidemiologic reviews, 43(1), 147-165. https://doi.org/10.1093/epirev/mxab013
Cerdá, Magdalena, et al. "A Systematic Review of Simulation Models to Track and Address the Opioid Crisis." Epidemiologic reviews vol. 43,1 (2022): 147-165. doi: https://doi.org/10.1093/epirev/mxab013
Cerdá M, Jalali MS, Hamilton AD, DiGennaro C, Hyder A, Santaella-Tenorio J, Kaur N, Wang C, Keyes KM. A Systematic Review of Simulation Models to Track and Address the Opioid Crisis. Epidemiol Rev. 2022 Jan 14;43(1):147-165. doi: 10.1093/epirev/mxab013. PMID: 34791110.
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Showing 1 to 12 of 46 entries