Evidence map›Paper›PMID 36353589›Full record

ArticleGland surgery2022

Predictive value of the systemic immune-inflammation index for the efficacy of neoadjuvant chemotherapy and prognosis in patients with stage III ovarian cancer-a retrospective cohort study.

Jing Wang, Shuping Yin, Kewei Chen

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 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.

Jing Wang *Department of Obstetrics and Gynecology, Affiliated Hospital of Chifeng University, Chifeng, China.
Shuping Yin *Department of Obstetrics and Gynecology, Changxing County People's Hospital, Huzhou, China.
Kewei ChenDepartment of Obstetrics and Gynecology, Tongji Hospital of Tongji University, Shanghai, China.
Chifeng University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The systemic immune-inflammation index (SII) has been proven to be related to the prognoses of multiple malignant tumors. However, there are still few studies on the relationship between the SII and the effect of neoadjuvant chemotherapy in patients with ovarian cancer. It is of great significance to predict the efficacy of neoadjuvant chemotherapy in patients with ovarian cancer. Our study was aimed at determining the predictive value of the SII for the efficacy of neoadjuvant chemotherapy and prognosis in patients with stage III ovarian cancer. Methods: A total of 102 patients with stage III ovarian cancer treated in Tongji Hospital of Tongji University from January 2017 to January 2019 were retrospectively collected. According to the level of the SII before neoadjuvant chemotherapy, patients were divided into the high SII group and low SII group. We compared the effect of neoadjuvant chemotherapy between the 2 groups, and observed the progression-free survival and mortality of patients in the 2 groups after 3 years follow-up. Results: Compared with patients in the low SII group, the complete response rate of patients in the high SII group decreased significantly after neoadjuvant chemotherapy (13.73% Conclusions: A high SII was a predictor of inefficacy of neoadjuvant chemotherapy in patients with stage III ovarian cancer and was related to poor prognosis.

Indexed as

efficacyneoadjuvant chemotherapyovarian cancerSystemic immune-inflammation index

Identifiers

PMID36353589
PMCPMC9638786
OpenAlexW4296523569

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.