Librarians’ Participation in the Systematic Reviews Published by Iranian Researchers and Its Impact on the Quality of Reporting Search Strategy
Bibliographic record
Abstract
Abstract
 Objective – The validity of the results from systematic review studies depends largely on the implementation and the reporting of the search strategy. Using an experienced librarian can greatly enhance the quality of results. Thus, the present study aimed to investigate the relationship between the librarian’s participation and the quality of reporting search strategy in systematic reviews published by Iranian researchers in medical fields.
 Methods – Three databases were searched to identify the systematic review studies conducted by Iranian researchers from 2008 to 2018. A total of 310 studies were selected using systematic random sampling, and the quality of their search strategy reports was reviewed by the Institute of Medicine checklist. A short questionnaire about the librarians’ participation in the search strategy of these studies was sent to the corresponding authors of the selected studies. A total of 229 questionnaires was returned. The data obtained from the questionnaire about the librarians’ participation in reporting search strategy in systematic review studies and also from the evaluation checklist for reporting search strategy in systematic review studies were analyzed by descriptive and inferential statistics.
 Results – The mean value of the evaluation checklist for reporting search strategy in systematic review studies was low. The librarians’ participation rate for these studies was 13.6%. No meaningful relationship was found between the librarians’ participation and the mean value of the evaluation checklist for reporting search strategy of systematic review studies. However, an investigation of the relationship between each of the items in the evaluation checklist for reporting search strategy in systematic review studies and librarians’ participation as the corresponding author or a member of the research team showed a meaningful relationship in five items.
 Conclusion – The results showed that the quality of reporting the search strategies in systematic reviews was low and the librarians’ participation in designing and reporting the search strategy in systematic reviews was limited. The authors of the systematic review studies, as well as the journals’ editors and referees, need to pay more careful attention to reporting the search strategy exactly and comprehensively. Employing librarians in this area can have a major impact on this part of systematic review studies.
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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 | 0.032 | 0.124 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.072 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".