Publications by authors named "Aniruddha M Deshpande"

Aim: To evaluate effectiveness of demineralized freeze-dried bone allograft (DFDBA) block fixed by titanium screw for reconstructing interimplant papilla in maxillary esthetic zone during one-stage early loading multiple implant procedure.

Materials And Methods: A total of 20 implants were placed in 10 systemically healthy patients (2 implants per patient) for replacement of multiple teeth by early loading one-stage implants along with interimplant papilla reconstruction using DFDBA block fixed by titanium screw. At the baseline, 6 months, and at 1 year, clinical measurements (interimplant papillary height measurement, papilla contour) and radiographic measurements were recorded.

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Paper-based data collection and analysis for consensus development is inefficient and error-prone. Computerized techniques that could improve efficiency, however, have been criticized as costly, inconvenient and difficult to use. We designed and implemented a metadata-driven Web-based Delphi rating and analysis tool, employing the flexible entity-attribute-value schema to create generic, reusable software.

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We designed an application to allow respondents to rate components of clinical guidelines on the Internet. Twenty-three invited experts completed the rating followed by a satisfaction survey using a 5-level Likert scale. The experts felt that Web data entry was convenient, acceptable and easily accessible.

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Despite enormous energies invested in authoring clinical practice guidelines, the quality of individual guidelines varies considerably. The Conference on Guideline Standardization (COGS) was convened in April 2002 to define a standard for guideline reporting that would promote guideline quality and facilitate implementation. Twenty-three people with expertise and experience in guideline development, dissemination, and implementation participated.

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We describe an interface and architecture for ad hoc temporal query of TrialDB, a clinical study data management system (CSDMS). A clinical study focuses primarily on the effect of therapy on a group of patients, who have individually enrolled in a study at different times. Relative times (chronological offsets from the time of enrollment) are therefore more useful than absolute times when collectively describing therapeutic or adverse events.

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Generic clinical study data management systems can record data on an arbitrary number of parameters in an arbitrary number of clinical studies without requiring modification of the database schema. They achieve this by using an Entity-Attribute-Value (EAV) model for clinical data. While very flexible for creating transaction-oriented systems for data entry and browsing of individual forms, EAV-modeled data is unsuitable for direct analytical processing, which is the focus of data marts.

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Clinical study data management systems (CSDMSs) have many similarities to clinical patient record systems (CPRSs) in their focus on recording clinical parameters. Requirements for ad hoc query interfaces for both systems would therefore appear to be highly similar. However, a clinical study is concerned primarily with collective responses of groups of subjects to standardized therapeutic interventions for the same underlying clinical condition.

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