Search Strategy for Blood Biomarkers in Aneurysmal Subarachnoid Hemorrhage

Ziegler, Daniela compiled search strategies for multiple biomedical databases, including MEDLINE, EMBASE, and Scopus, focusing on "subarachnoid hemorrhage" and "blood biomarkers". The dataset, harvested from Borealis Dataverse, was last updated on 2026-05-02. It contains the documented search methodology for a systematic review on predicting outcomes and detecting complications.

Use Cases

• Replicate or adapt a systematic literature search based on the documented database strategies.
• Analyze search term effectiveness for the concepts "subarachnoid hemorrhage" and "blood biomarkers".
• Compare search methodologies across platforms like OVID, EBSCO, Scopus, and Google Scholar.
• Use as a template for designing similar searches in other clinical biomarker research.

Strengths

• Search strategies are documented for six major biomedical databases (MEDLINE, EMBASE, EBM Reviews, CINAHL Complete, Scopus, Google Scholar).
• The search strategy was peer-reviewed, as indicated by a second author performing a revision.
• Dataset provenance is clear, authored by Daniela Ziegler and harvested from Borealis Dataverse.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Documented search strategies compiled for a systematic review.

Freshness

Last updated 2026-05-02 04:10:52; freshness should be verified.