Evidence map›Paper›PMID 34712068›Full record

ArticleSisli Etfal Hastanesi tip bulteni2021

Impact of the Coronavirus Disease Pandemic on the Annual Thyroid, Parathyroid, and Adrenal Surgery Volume in a Tertiary Referral Endocrine Surgery Center in 2020.

Fatih Tunca, Yalin Iscan, Ismail Cem Sormaz, Nihat Aksakal, Yasemin Senyurek

Open access · hybridAbstract read
In one paragraph

Article in Sisli Etfal Hastanesi tip bulteni, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Impact of the COVID-19 Pandemic on Thyroid Cancer Surgery.Current oncology (Toronto, Ont.) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Fatih TuncaDepartment of Surgery, Istanbul Faculty of Medicine, Istanbul, Turkey.
Yalin IscanDepartment of Surgery, Istanbul Faculty of Medicine, Istanbul, Turkey.
Ismail Cem SormazDepartment of Surgery, Istanbul Faculty of Medicine, Istanbul, Turkey.
Nihat AksakalDepartment of Surgery, Istanbul Faculty of Medicine, Istanbul, Turkey.
Yasemin SenyurekDepartment of Surgery, Istanbul Faculty of Medicine, Istanbul, Turkey.
Istanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of the study was to evaluate the impact of the coronavirus disease (COVID-19) pandemic on endocrine surgical volumes.

methodsThere were periodic surgical restriction sin our country in 2020 due to the pandemic. Endocrine surgery volumes at the Division of Endocrine Surgery, Istanbul Medical Faculty were compared between 2019 and 2020.

resultsThe surgical volume reduction in 2020 compared to 2019 was 20%, 54.5%, and 40% for thyroid, parathyroid, and adrenal surgery, respectively. Surgical volume for thyroidectomy for benign nodular goiter and parathyroidectomy significantly decreased, whereas adrenal surgery showed no significant difference in 2020 compared to 2019. No significant difference was found in the rates of thyroid cancer and adrenocortical cancer surgery in 2020compared to 2019.

conclusionThe COVID-19 outbreak led to a significant reduction in the annual rates of parathyroidectomy and thyroidectomy for benign goiter, whereas the volume of thyroid cancer and adrenal surgeries were similar to the previous year.

Indexed as

Coronavirus disease pandemicendocrine surgeryendocrine surgical volume

Identifiers

PMID34712068
PMCPMC8526220
OpenAlexW3206161293

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.