Evidence map›Paper›PMID 35210857›Full record

ArticleCancer management and research2022

Comparative Study of Perioperative and Oncological Outcomes Between Elderly Patients and Younger Patients Who Received Radical Cystectomy and Pelvic Lymph Node Dissection: A Single-Center Retrospective Study.

Haixin Wang, Haiwen Huang, Meixia Shang, Han Hao, Zhijun Xi

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 97% 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

4 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Haixin Wang *Department of Urology, Peking University First Hospital, Beijing, People's Republic of China.ORCID 0000-0001-6801-4394
Haiwen Huang *Department of Urology, Peking University First Hospital, Beijing, People's Republic of China.
Meixia ShangDepartment of Medical Statistics, Peking University First Hospital, Beijing, People's Republic of China.
Han HaoDepartment of Urology, Peking University First Hospital, Beijing, People's Republic of China.
Zhijun XiDepartment of Urology, Peking University First Hospital, Beijing, People's Republic of China.ORCID 0000-0002-8107-7346
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the perioperative and survival outcomes of patients over 75 years and younger patients who received radical cystectomy. PATIENTS AND

methodsA total of 119 patients aged ≥75 years and 488 patients aged <75 years were enrolled. All patients underwent radical cystectomy with pelvic lymph node dissection. Clinical characteristics and perioperative outcomes were compared between the two groups. Overall survival and progression-free survival were analyzed by using the Kaplan-Meier method. Cox regression analysis and logistic regression analysis were used to identify the risk factors affecting the outcomes observed.

resultsThere was no significant difference in perioperative complications between the elderly patient group and the younger patient group (

conclusionIn our cohort, compared with younger patients, elderly patients aged ≥75 years had worse survival outcomes, but age ≥75 years was not a risk factor for major complications after radical cystectomy with pelvic lymph node dissection. Radical surgery should be encouraged for elderly patients who can tolerate aggressive treatments.

Indexed as

complicationselderlyradical cystectomysurvival outcomes

Identifiers

PMID35210857
PMCPMC8857955
OpenAlexW4213252033

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.