- Framework of problems / Rigourous
- Data extraction errors and double counting
- Data extraction methods: an analysis of internal reporting discrepancies in single manuscripts and practical advice
| Ref ID | 371 |
| First Author | L. Puljak |
| Journal | JOURNAL OF CLINICAL EPIDEMIOLOGY |
| Year Of Publishing | 2020 |
| URL | https://www.sciencedirect.com/science/article/pii/S0895435619302227 |
| Keywords |
Abstract / summary Error General medical Single reviewer |
| Problem(s) |
Data extraction errors and double counting Single reviewer / lack of double checking |
| Number of systematic reviews included | 2 |
| Summary of Findings | The authors highlight possible types of internal reporting discrepancies which include: Abstract-text discrepancies (Discrepancies between the abstract and the full-text of a manuscript); Within-the-full-text discrepancies (Discrepancies in different parts of the body of a manuscript); Text-figure discrepancies (Discrepancies between a figure and the full-text of a manuscript); Text-table discrepancies (Discrepancies between a table and the full text of a manuscript); Multiple discrepancies (Discrepancies in multiple sections of the same manuscript). The authors provide a series of recommendations to help mitigate discrepancies including use of two systematic review authors conducting data extraction independently. |
| Did the article find that the problem(s) led to qualitative changes in interpretation of the results? | Not Applicable |
| Are the methods of the article described in enough detail to replicate the study? |