fix(script): Fix screening numbers
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1 changed files with 21 additions and 13 deletions
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@ -417,17 +417,25 @@ and the sources will be added to the sample to undergo the same screening proces
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#| echo: false
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#| output: asis
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FULL_RAW_SAMPLE_NOTHING_REMOVED = 2396
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FULL_SAMPLE_DUPLICATES_REMOVED = 2381
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nr_database_query_raw = len(bib_sample_raw_db.entries)
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nr_out_duplicates = FULL_RAW_SAMPLE_NOTHING_REMOVED - FULL_SAMPLE_DUPLICATES_REMOVED
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nr_other_sources = (FULL_SAMPLE_DUPLICATES_REMOVED + nr_out_duplicates) - nr_database_query_raw
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nr_snowballing_raw = 2240
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all_keywords = [entry["keywords"] for entry in bib_sample.entries if "keywords" in entry.fields_dict.keys()]
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nr_database_deduplicated = len([1 for kw in all_keywords if "sample::database" in kw])
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nr_snowballing_deduplicated = len([1 for kw in all_keywords if "sample::snowballing" in kw])
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nr_out_superseded = len([1 for kw in all_keywords if "out::superseded" in kw])
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nr_out_title = len([1 for kw in all_keywords if "out::title" in kw])
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nr_out_abstract = len([1 for kw in all_keywords if "out::abstract" in kw])
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nr_out_fulltext = len([1 for kw in all_keywords if "out::full-text" in kw])
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FULL_RAW_SAMPLE_NOTHING_REMOVED = nr_database_query_raw + nr_snowballing_raw
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FULL_SAMPLE_DUPLICATES_REMOVED = nr_database_deduplicated + nr_snowballing_deduplicated + nr_out_superseded
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NON_ZOTERO_CAPTURE_TITLE_REMOVAL = 1150
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NON_ZOTERO_CAPTURE_ABSTRACT_REMOVAL = 727
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NON_ZOTERO_CAPTURE_FULLTEXT_REMOVAL = 348
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nr_out_duplicates = FULL_RAW_SAMPLE_NOTHING_REMOVED - FULL_SAMPLE_DUPLICATES_REMOVED
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nr_out_title = len([1 for kw in all_keywords if "out::title" in kw]) + NON_ZOTERO_CAPTURE_TITLE_REMOVAL
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nr_out_abstract = len([1 for kw in all_keywords if "out::abstract" in kw]) + NON_ZOTERO_CAPTURE_ABSTRACT_REMOVAL
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nr_out_fulltext = len([1 for kw in all_keywords if "out::full-text" in kw]) + NON_ZOTERO_CAPTURE_FULLTEXT_REMOVAL
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nr_out_language = len([1 for kw in all_keywords if "out::language" in kw])
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nr_extraction_done = len([1 for kw in all_keywords if "done::extracted" in kw])
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@ -441,15 +449,15 @@ print(f"""
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%%| fig-width: 6
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flowchart TD;
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search_db["Records identified through database searching (n={nr_database_query_raw})"] --> starting_sample;
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search_prev["Records identified through other sources (n={nr_other_sources})"] --> starting_sample["Starting sample (n={FULL_RAW_SAMPLE_NOTHING_REMOVED})"];
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search_prev["Records identified through other sources (n={nr_snowballing_raw})"] --> starting_sample["Starting sample (n={FULL_RAW_SAMPLE_NOTHING_REMOVED})"];
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starting_sample -- "Duplicate removal ({nr_out_duplicates+nr_out_superseded} removed) "--> dedup["Records after duplicates removed (n={len(bib_sample.entries)})"];
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starting_sample -- "Duplicate removal ({nr_out_duplicates+nr_out_superseded} removed) "--> dedup["Records after duplicates removed (n={FULL_SAMPLE_DUPLICATES_REMOVED})"];
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dedup -- "Title screening ({nr_out_title} excluded)" --> title_screened["Records after titles screened (n={len(bib_sample.entries) - nr_out_title})"];
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dedup -- "Title screening ({nr_out_title} excluded)" --> title_screened["Records after titles screened (n={FULL_SAMPLE_DUPLICATES_REMOVED - nr_out_title})"];
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title_screened -- "Abstract screening ({nr_out_abstract} excluded)"--> abstract_screened["Records after abstracts screened (n={len(bib_sample.entries)-nr_out_title-nr_out_abstract})"];
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title_screened -- "Abstract screening ({nr_out_abstract} excluded)"--> abstract_screened["Records after abstracts screened (n={FULL_SAMPLE_DUPLICATES_REMOVED-nr_out_title-nr_out_abstract})"];
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abstract_screened -- " Language screening ({nr_out_language} excluded) "--> language_screened["Records after language screened (n={len(bib_sample.entries)-nr_out_title-nr_out_abstract-nr_out_language})"];
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abstract_screened -- " Language screening ({nr_out_language} excluded) "--> language_screened["Records after language screened (n={FULL_SAMPLE_DUPLICATES_REMOVED-nr_out_title-nr_out_abstract-nr_out_language})"];
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language_screened -- " Full-text screening ({nr_out_fulltext} excluded) "--> full-text_screened["Full-text articles assessed for eligibility (n={nr_extraction_done})"];
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{t3}
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@ -478,7 +486,7 @@ For a full list of validity ranks, see @apptbl-validity-external and @apptbl-val
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nr_relevant = len([1 for kw in all_keywords if "relevant" in kw])
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```
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The query execution results in an initial sample of `{python} nr_database_query_raw` potential studies identified from the database search as well as `{python} nr_other_sources` potential studies from other sources, leading to a total initial number of `{python} FULL_RAW_SAMPLE_NOTHING_REMOVED`.
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The query execution results in an initial sample of `{python} nr_database_query_raw` potential studies identified from the database search as well as `{python} nr_snowballing_raw` potential studies from other sources, leading to a total initial number of `{python} FULL_RAW_SAMPLE_NOTHING_REMOVED`.
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This accounts for all identified studies without duplicate removal, without controlling for literature that has been superseded or applying any other screening criteria.
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Of these, `{python} nr_relevant` have been identified as potentially relevant studies for the purposes of this scoping review, from which `{python} nr_extraction_done` have been extracted.
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