Evidence map›Paper›PMID 36428651›Full record

ArticleCancers2022

Should We Always Perform Preoperative Chest Computed Tomography in Patients with cT1a Renal Cell Carcinoma?

Jae-Wook Chung, Jun-Koo Kang, Se Won Jang, Eun Hye Lee, So Young Chun, Seock Hwan Choi, Jun Nyung Lee, Bum Soo Kim, Hyun Tae Kim, See Hyung Kim and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
0.2field-weighted citation impact, top 47% 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, 1 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

15 authors at 3 institutions in 1 country.

Jae-Wook ChungDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.ORCID 0000-0002-1055-2357
Jun-Koo KangDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Se Won JangDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Eun Hye LeeBiomedical Research Institute, Kyungpook National University, Daegu 41944, Korea.
So Young ChunBiomedical Research Institute, Kyungpook National University, Daegu 41944, Korea.
Seock Hwan ChoiDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Jun Nyung LeeDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Bum Soo KimDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.ORCID 0000-0002-4873-3049
Hyun Tae KimDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.ORCID 0000-0002-4730-3776
See Hyung KimDepartment of Radiology, School of Medicine, Kyungpook National University, Daegu 41944, Korea.
Tae-Hwan KimDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Eun Sang YooDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Tae Gyun KwonDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.
Dong Jin ParkDepartment of Urology, Dongguk University College of Medicine, Gyeongju 38066, Korea.ORCID 0000-0003-1667-2146
Yun-Sok HaDepartment of Urology, Kyungpook National University Hospital, Daegu 41944, Korea.ORCID 0000-0003-3732-9814
Kyungpook National University Hospital · KRKyungpook National University · KRDongguk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No definitive criteria regarding the performance of preoperative chest computed tomography (CT) in patients with cT1a renal cell carcinoma (RCC) exists. We aimed to establish an objective standard for the optimal timing of preoperative chest CT in patients with RCC. Data from 890 patients who underwent surgical treatment for RCC between January 2011 and December 2020 were retrospectively collected. The primary endpoint was detection of lung metastasis on chest CT before nephrectomy. A multivariable logistic regression model predicting positive chest CT scans was used. Predictors included preoperative cTN stage, presence of systemic symptoms, Charlson comorbidity index (CCI), platelet count/hemoglobin ratio, albumin/globulin ratio (AGR), and De Ritis ratio. The overall rate of positive chest CT scans before nephrectomy was 3.03% (27/890). Only one patient had lung metastasis before surgery for cT1a. cT stage (≥cT1b), CCI ≥4, and low AGR were associated with a higher risk of positive chest CT scans. The best cutoff value for AGR was 1.39. After 890-sample bootstrap validation, the concordance index was 0.80. The net benefit of the proposed strategy was superior to that of the select-all and select-none strategies according to decision curve analysis. Therefore, when chest CT scans were performed with a risk of a positive result ≥10%, 532 (59.8%) negative chest CT scans could be prevented. Only 24 (2.7%) potentially positive chest CT scans were misdiagnosed. Therefore, we recommend chest CT in patients with ≥cT1b disease, CCI ≥4, and low AGR.

Indexed as

chest computed tomography scanclinical staginglung metastasisrenal cell carcinoma

Identifiers

PMID36428651
PMCPMC9688927
OpenAlexW4309459244

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.