Evidence map›Paper›PMID 34902297›Full record

ArticleThe Annals of thoracic surgery2022

Lung Cancer Surgery With Persistent COVID-19 Infection.

Takahiro Nakagomi, Taichiro Goto, Yosuke Hirotsu, Rumi Higuchi, Toshiharu Tsutsui, Kenji Amemiya, Toshio Oyama, Hitoshi Mochizuki, Masao Omata

Open access · greenAbstract readCase Reports
In one paragraph

Article in The Annals of thoracic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Takahiro NakagomiLung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan.
Taichiro GotoLung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan. Electronic address: taichiro@1997.jukuin.keio.ac.jp.
Yosuke HirotsuGenome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan.
Rumi HiguchiLung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan.
Toshiharu TsutsuiLung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan.
Kenji AmemiyaGenome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan.
Toshio OyamaDepartment of Pathology, Yamanashi Central Hospital, Yamanashi, Japan.
Hitoshi MochizukiGenome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan.
Masao OmataGenome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan; University of Tokyo, Tokyo, Japan.
Yamanashi Prefectural Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 71-year-old man with a history of drug-induced interstitial pneumonia was diagnosed with COVID-19 infection and simultaneously found to have a pulmonary mass, suggesting a coexisting lung cancer. Approximately 1 month after COVID-19 pneumonia resolved, the patient electively underwent right upper lobectomy. Postoperatively, acute exacerbation of interstitial pneumonia occurred and the patient died on the fifteenth postoperative day. By quantitative reverse transcription polymerase chain reaction, high levels of COVID-19-derived RNA were detected in the specimen of lung parenchyma. Despite resolved COVID-19 infection, it may persist locally in the lungs, with the risk of acute exacerbation of interstitial pneumonia due to secondary stressors including surgery.

Indexed as

COVID-19Lung Diseases, InterstitialLung NeoplasmsAgedHumansLungMalePneumonectomy

Identifiers

PMID34902297
PMCPMC8660662
OpenAlexW4200108960

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.