Impact of librarians on reporting of the literature searching component of pediatric systematic reviews
Bibliographic record
Abstract
Objective: A critical element in conducting a systematic review is the identification of studies. To date, very little empirical evidence has been reported on whether the presence of a librarian or information professional can contribute to the quality of the final product. The goal of this study was to compare the reporting rigor of the literature searching component of systematic reviews with and without the help of a librarian.Method: Systematic reviews published from 2002 to 2011 in the twenty highest impact factor pediatrics journals were collected from MEDLINE. Corresponding authors were contacted via an email survey to determine if a librarian was involved, the role that the librarian played, and functions that the librarian performed. The reviews were scored independently by two reviewers using a fifteen-item checklist.Results: There were 186 reviews that met the inclusion criteria, and 44% of the authors indicated the involvement of a librarian in conducting the systematic review. With the presence of a librarian as coauthor or team member, the mean checklist score was 8.40, compared to 6.61 (p<0.001) for reviews without a librarian.Conclusions: Findings indicate that having a librarian as a coauthor or team member correlates with a higher score in the literature searching component of systematic reviews.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.164 | 0.471 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".