Evidence map›Paper›PMID 34737641›Full record

ArticleCancer management and research2021

Prognosis of Early Stage Cervical Cancer According to Patterns of Recurrence.

Yuanyuan Chen, Yiming Zhu, Jinchang Wu

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Yuanyuan ChenDepartment of Radiation, The Affiliated Suzhou Hospital of Nanjing Medical University and Second Affiliated Hospital of Xuzhou Medical University, Suzhou, Jiangsu, People's Republic of China.
Yiming ZhuDepartment of Gynecologic Oncology, Cancer Hospital of University of Chinese Academy of Sciences, Hangzhou, Zhejiang, People's Republic of China.
Jinchang WuDepartment of Radiation, The Affiliated Suzhou Hospital of Nanjing Medical University and Second Affiliated Hospital of Xuzhou Medical University, Suzhou, Jiangsu, People's Republic of China.
Nanjing Medical University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatterns of recurrence in cervical cancer may be useful as prognostic indicators. The aim of the present study was to determine the value of patterns of recurrence for predicting prognosis of early-stage cervical cancer. PATIENTS AND

methodsOf the 1934 patients diagnosed with primary cervical cancer between August 2008 and July 2013, 167 experienced recurrence after radical hysterectomy, including pelvic lymphadenectomy, and adjuvant postoperative treatment. The patterns of recurrence were classified into four groups: central, pelvic, distant only, and combined metastases, and the relationship between patterns of recurrence and prognosis was evaluated.

resultsThe patterns of lung only (21.6%), central (21.0%), and pelvic recurrence (17.4%) were the most common sites, followed by distant lymph nodes and lung with other sites. The longest 5-year survival period occurred in patients with central recurrence (70.5%), followed by distant lymph nodes (58.4%), peritoneum (58.3%), and lung only (36.8%). Late recurrence was detected in 28 patients (1.4%), who showed a better prognosis than those with early recurrence (p = 0.003).

conclusionThe patterns of recurrence help to predict prognosis. A central pattern of recurrence, distant lymph node recurrence, and peritoneal recurrence were associated with favorable outcomes after salvage therapy; however, patients who suffered other recurrent patterns, along with early recurrence, require more effective therapeutic strategies to improve survival.

Indexed as

centralcervical cancerpelvicprognosisrecurrence

Identifiers

PMID34737641
PMCPMC8560325
OpenAlexW3209433292

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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.