Sentence examples for data extraction systematic from inspiring English sources

Following data extraction, systematic reviews identified were categorised by condition treated (asthma, COPD, bronchiectasis, interstitial lung disease, bronchitis, bronchoconstriction, pulmonary arterial hypertension, breathlessness (generic), and respiratory failure) and by treatment type (i.e. non-pharmacological/pharmacological).

Since the style of reporting in older papers does not always facilitate quality assessment or data extraction, systematic reviews that include older papers could present challenges for maintaining acceptable levels of inter-rater and test retest reliability.

Data extraction includes systematic manuscript review.

Through a rigorous search strategy and structured data extraction, this systematic review collected and analyzed published ED quality metrics in LMICs.

The software package NUD*IST4 [ 8] was used for data extraction and systematic content analysis [ 9, 10].

As a practical matter, two reviewers should independently undertake the labelling of components and clinically meaningful units, and the resultant configuration of the network of evidence, as is done for all other data extraction in systematic reviews.

Data extraction involved the systematic review of each article.

The objective of this study was to retrospectively repeat the data extraction in all systematic reviews conducted by the Cochrane Cystic Fibrosis and Genetic Disorders Group.

This enabled data extraction in a systematic way.

Transcripts were analysed thematically by the lead author and checked by a second research team member using the main headings adopted for data extraction in the systematic literature review.

Additional resources to inform workshop participants were the HuGENet handbook [ 57, 58], examples of data extraction forms from systematic reviews or meta-analyses, articles on guideline development [ 59, 60] and the checklists developed for STROBE.