Evidence map›Paper›PMID 37258307›Full record

ArticleSurgery2023

Successful virtual interviews for surgery residents.

Deanna Palenzuela, Sophia K McKinley

Open access · bronzeAbstract read
In one paragraph

Article in Surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Deanna PalenzuelaMassachusetts General Hospital, Boston, MA. Electronic address: https://twitter.com/DeaPalenzuela.
Sophia K McKinleyMassachusetts General Hospital, Boston, MA; Memorial Sloan Kettering Cancer Center, New York City, NY. Electronic address: skm323@mail.harvard.edu.
Memorial Sloan Kettering Cancer Center · USTwitter (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 pandemic resulted in surgical residency and fellowship interviews shifting to a virtual, web-based format. Although virtual interviews have important benefits, this change also brought about new challenges for applicants, including a new interview etiquette and potential difficulty in evaluating and discriminating between programs. The aim of this article is to provide applicants with guidance for every step of their interview process so that they can confidently put forth their strongest performance. Preparing for effective virtual interviewing begins long before the interview day and involves critical self-reflection, practice with mock interviews, optimizing the interview environment, and conducting a technology trial run. During the interview day, standard interview advice for face-to-face interviews remains true for virtual interviews. However, there are a few additional considerations, including minimizing distractions, muting oneself in a group setting, and turning off the camera when stepping away from the screen. After the interview, there are several ways for applicants to elicit more information about the "fit" of different programs of interest. We recommend leveraging personal relationships to ask additional questions and consider visiting select programs in person, if possible. Although our recommendations are not exhaustive, we hope that by following these virtual interview best practices, applicants will be more prepared to present themselves strongly and successfully navigate the virtual interview process.

Indexed as

COVID-19Internship and ResidencyFellowships and ScholarshipsHumansPandemicsSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID37258307
PMCPMC10225973
OpenAlexW4378650607

What OpenQuestion holds

Textmetadata
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.