🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Nazanin Saadat

Nazanin Saadat

Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 15 papers. Top paper: “The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis”.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

Psychotherapy and Psychosomatics(2019)10.1159/000502294

N/A

4.8DataRank · unranked

123 citations

Brooke Levis, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +74 more

Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta‐analysis

International Journal of Methods in Psychiatric Research(2020)10.1002/mpr.1860

N/A

2.4DataRank · unranked

60 citations

Tiffany Dal Santo, Brooke Levis, Yin Wu, Ying Sun, Chen He +75 more

Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews

The British Journal of Psychiatry(2018)10.1192/bjp.2018.54

N/A

1.7DataRank · unranked

69 citations

Andrea Benedetti, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +75 more

Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses

BMJ Open(2016)10.1136/bmjopen-2016-011913

N/A

1.6DataRank · unranked

30 citations

Andrea Benedetti, Lorie A. Kloda, Brooke Levis, Marleine Azar, Kira E. Riehm +17 more

Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta‐analysis

International Journal of Methods in Psychiatric Research(2019)10.1002/mpr.1803

N/A

1.3DataRank · unranked

49 citations

Dean McMillan, Ying Sun, Chen He, Danielle B. Rice, Ankur Krishnan +93 more

Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

Journal of Psychosomatic Research(2020)10.1016/j.jpsychores.2020.110256

N/A

1.2DataRank · unranked

41 citations

Tiffany Dal Santo, Brooke Levis, Yin Wu, Ying Sun, Ankur Krishnan +73 more

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Journal of Psychosomatic Research(2020)10.1016/j.jpsychores.2019.109892

N/A

1.2DataRank · unranked

49 citations

Brooke Levis, Ying Sun, Ankur Krishnan, Chen He, Kira E. Riehm +114 more

Shortening self-report mental health symptom measures through optimal test assembly methods: Development and validation of the Patient Health Questionnaire-Depression-4

Depression and Anxiety(2018)10.1002/da.22841

N/A

1.1DataRank · unranked

26 citations

Daphna Harel, Brooke Levis, Alexander W. Levis, Kira E. Riehm, Nazanin Saadat +35 more

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis

Psychological Medicine(2019)10.1017/s0033291719001314

N/A

0.901DataRank · unranked

405 citations

Brooke Levis, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +67 more

Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

Journal of Clinical Epidemiology(2021)10.1016/j.jclinepi.2021.03.031

N/A

0.889DataRank · unranked

20 citations

Brooke Levis, Tiffany Dal Santo, Scott B. Patten, Ian Shrier, Brett D. Thombs +101 more

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Journal of Clinical Epidemiology(2020)10.1016/j.jclinepi.2020.02.002

N/A

0.798DataRank · unranked

204 citations

Andrea Benedetti, Ying Sun, Zelalem Negeri, Chen He, Yin Wu +76 more

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis – ERRATUM

Psychological Medicine(2019)10.1017/s0033291719002137

N/A

0.449DataRank · unranked

19 citations

Brooke Levis, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +65 more

Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis

The Canadian Journal of Psychiatry(2020)10.1177/0706743720934959

N/A

0.396DataRank · unranked

13 citations

Brooke Levis, Anita Lyubenova, Tiffany Dal Santo, Zelalem Negeri, Yin Wu +50 more

A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well

Scientific Reports(2023)10.1038/s41598-023-36129-w

N/A

0.104DataRank · unranked

1 citations

Parash Mani Bhandari, Yin Wu, Brooke Levis, Andrea Benedetti, Ying Sun +77 more

Author response for "Shortening the Edinburgh Postnatal Depression Scale using Optimal Test Assembly Methods: Development of the EPDS‐Dep‐5"

(2020)10.1111/acps.13272/v2/response1

N/A

0DataRank · unranked

0 citations

Brooke Levis, Miyabi Ishihara, Alexander W. Levis, Simone N. Vigod, Louise M. Howard +60 more