Evidence map›Paper›PMID 31624694›Full record

ArticlePlastic and reconstructive surgery. Global open2019

Reading between the Lines: A Plastic Surgeon's Guide to Evaluating the Quality of Evidence in Research Publications.

Allen Gabriel, G Patrick Maxwell

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The use of injectable orthobiologics for knee osteoarthritis: A formal ESSKA-ORBIT consensus. Part 2-Cell-based therapy.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
  3. The Need for Higher Levels of Evidence in Plastic Surgery.Plastic and reconstructive surgery. Global open · 2024
    Article
  4. The Impact of Senior Author Profile on Publication Level of Evidence inPlastic and reconstructive surgery. Global open · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Allen GabrielDepartment of Plastic Surgery, Loma Linda University Medical Center, Loma Linda, Calif.
G Patrick MaxwellDepartment of Plastic Surgery, Loma Linda University Medical Center, Loma Linda, Calif.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important component of practicing evidence-based medicine (EBM) in plastic surgery is staying current with published research, an increasingly difficult task given the rapid growth of the literature. This article reviews the methodological aspects specific to the aesthetic surgery field that should be considered when evaluating the quality of evidence in research publications in the context of the level of evidence (LOE) grading scales that are currently used by plastic surgery journals. Reporting the LOE in a research publication can help to highlight the quality of the research and the potential for bias so that the reader may prioritize information accordingly. However, LOE classifications are not an absolute index of the quality of evidence and do not preclude careful evaluation of the study's methods and results in the context of the authors' conclusions. As the application of evidence-based medicine expands in the plastic surgery community, surgeons must be mindful of how to appropriately interpret research findings and assess the utility of applying results to their practice.

Identifiers

PMID31624694
PMCPMC6635181

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.