Evidence map›Paper›PMID 29670375›Full record

ArticleOncoTargets and therapy2018

Role of presurgical targeted molecular therapy in renal cell carcinoma with an inferior vena cava tumor thrombus.

Cheng Peng, Liangyou Gu, Lei Wang, Qingbo Huang, Baojun Wang, Gang Guo, Yang Fan, Yu Gao, Xin Ma, Xu Zhang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. [Limits of surgery in uro-oncology].Der Urologe. Ausg. A · 2018
    Review
  8. Molecular targeted therapy for advanced or metastatic soft tissue sarcoma.Cancer control : journal of the Moffitt Cancer Center
    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

10 authors at 1 institution in 1 country.

Cheng Peng *Department of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Liangyou Gu *Department of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Lei WangDepartment of Urology, Chinese PLA 534 Hospital, Luoyang, People's Republic of China.
Qingbo HuangDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Baojun WangDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Gang GuoDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Yang FanDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Yu GaoDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Xin MaDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Xu ZhangDepartment of Urology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Chinese PLA Medical Academy, Beijing, People's Republic of China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe clinical benefit of targeted molecular therapy (TMT) in renal cell carcinoma (RCC) with an inferior vena cava (IVC) tumor thrombus remains controversial. The aim of this study was to investigate the effects of presurgical TMT on the heights and levels of IVC thrombi, and to assess its impact on surgical strategy. PATIENTS AND

methodsWe retrospectively reviewed data from 18 patients with RCC involving IVC tumor thrombi who were treated at our hospital with presurgical TMT followed by an IVC thrombectomy. The changes in heights and levels of the IVC thrombi were compared using computed tomography or magnetic resonance imaging. Clinicopathological factors were also evaluated to assess their association with TMT efficacy.

resultsThe tumor thrombus levels before TMT were stage I in 1 patient (5.6%), II in 12 patients (66.7%), III in 4 patients (22.2%), and IV in 1 patient (5.6%). After a median of two treatment cycles (range: 1-3), the thrombus height decreased measurably in 11 patients (61.1%) with an average shrinkage of 17.7%. The thrombus height remained stable in five patients (27.8%) and was enlarged in two (11.1%). Downstaging of the thrombus level occurred in four patients (22.2%); the surgical strategy was modified in three patients (16.7%) to avoid cardiopulmonary bypass and complicated liver mobilization under robot-assisted laparoscopy. Furthermore, a higher neutrophil count tended to be associated with a worse clinical TMT-associated outcome (

conclusionOur data suggest a limited influence of presurgical TMT with a positive benefit in RCC patients with level III and IV thrombus. Thrombus-level regression may potentially alter the surgical strategy, especially robotic surgery. However, our findings require validation with additional prospective investigations.

Indexed as

presurgical TMTsorafenibsunitinibsurgical strategy

Identifiers

PMID29670375
PMCPMC5898583
OpenAlexW2795522569

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.