# Petra Macaskill

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/petra-macaskill/

## Facts

| Field | Value |
| --- | --- |
| Citations | 39,357 |
| Field | Meta-analysis and systematic reviews |
| h-index | 71 |
| i10-index | 152 |
| Last Known Institution | The University of Sydney |
| OpenAlex ID | https://openalex.org/A5007827945 |
| ORCID iD | https://orcid.org/0000-0001-5879-6193 |
| Works | 222 |

## Researcher papers

- [Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials](https://scholariq.org/papers/recommendations-for-examining-and-interpreting-funnel-plot-asymmetry-in-meta/)
- [Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies](https://scholariq.org/papers/preferred-reporting-items-for-a-systematic-review-and-meta-analysis-of-2/)
- [The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed](https://scholariq.org/papers/the-performance-of-tests-of-publication-bias-and-other-sample-size-effects-in/)
- [The Association of Surgical Margins and Local Recurrence in Women with Early-Stage Invasive Breast Cancer Treated with Breast-Conserving Therapy: A Meta-Analysis](https://scholariq.org/papers/the-association-of-surgical-margins-and-local-recurrence-in-women-with-early/)
- [Preoperative Ultrasound-Guided Needle Biopsy of Axillary Nodes in Invasive Breast Cancer](https://scholariq.org/papers/preoperative-ultrasound-guided-needle-biopsy-of-axillary-nodes-in-invasive/)

## Researcher topics

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)
- [Statistical Methods in Clinical Trials](https://scholariq.org/topics/statistical-methods-in-clinical-trials/)
- [Global Cancer Incidence and Screening](https://scholariq.org/topics/global-cancer-incidence-and-screening/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [The University of Sydney](https://scholariq.org/institutions/the-university-of-sydney/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.