Evidence map›Paper›PMID 33133699›Full record

ReviewAdvances in orthopedics2020

The Effect of Feedback on Surgeon Performance: A Narrative Review.

Kelsey A Rankin, Jordan Brand, Daniel H Wiznia

Open access · goldAbstract readReview
In one paragraph

Review in Advances in orthopedics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Overcoming Metacognitive Bias: What Surgeons Can Learn From Athletes.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    Article
  3. Review
  4. Utilization of a National Registry to influence opioid prescribing behavior after hernia repair.Hernia : the journal of hernias and abdominal wall surgery · 2022
    Article
  5. Review
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

3 authors at 1 institution in 1 country.

Kelsey A RankinYale School of Medicine, 47 College Street, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0001-9251-0857
Jordan BrandYale School of Medicine, 47 College Street, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0002-5922-5912
Daniel H WizniaYale School of Medicine, 47 College Street, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0003-3987-0364
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons play a critical role in the healthcare community and provide a service that can tremendously impact patients' livelihood. However, there are relatively few means for monitoring surgeons' performance quality and seeking improvement. Surgeon-level data provide an important metric for quality improvement and future training. A narrative review was conducted to analyze the utility of providing surgeons direct feedback on their individual performance. The articles selected identified means of collecting surgeon-specific data, suggested ways to report this information, identified pertinent gaps in the field, and concluded the results of giving feedback to surgeons. There is a relative sparsity of data pertaining to the effect of providing surgeons with information regarding their individual performance. However, the literature available does suggest that providing surgeons with individualized feedback can help make meaningful improvements in the quality of practice and can be done in a way that is safe for the surgeons' reputation.

Identifiers

PMID33133699
PMCPMC7591966
OpenAlexW3094319835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.