Evidence map›Paper›PMID 33966125›Full record

ArticleInternational journal of clinical oncology2021

Laboratory prognostic score for predicting 14-day mortality in terminally ill patients with gynecologic malignancy.

Kazuma Onishi, Natsuko Kawai, Kimio Mizuno, Ayumi Shintani, Norihiro Yuasa

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In one paragraph

Article in International journal of clinical oncology, 2021. 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
0.5field-weighted citation impact, top 32% 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, 7 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

5 authors at 2 institutions in 1 country.

Kazuma OnishiDepartment of Obstetrics and Gynecology, Japanese Red Cross Nagoya First Hospital, 3-35, Michishita-cho, Nakamura-ku, Nagoya, 453-8511, Japan.
Natsuko KawaiDepartment of Palliative Medicine, Japanese Red Cross Nagoya First Hospital, 3-35, Michishita-cho, Nakamura-ku, Nagoya, 453-8511, Japan.
Kimio MizunoDepartment of Obstetrics and Gynecology, Japanese Red Cross Nagoya First Hospital, 3-35, Michishita-cho, Nakamura-ku, Nagoya, 453-8511, Japan.
Ayumi ShintaniDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka-City, Osaka, 545-8585, Japan.
Norihiro YuasaDepartment of Palliative Medicine, Japanese Red Cross Nagoya First Hospital, 3-35, Michishita-cho, Nakamura-ku, Nagoya, 453-8511, Japan. nyuasa0257@gmail.com.ORCID http://orcid.org/0000-0003-3118-1791
Japanese Red Cross Nagoya Daiichi Hospital · JPOsaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few studies developing a scoring system for short-term survival of patients with gynecologic malignancy.

methodsSeventy-three terminally ill patients with gynecologic malignancy who were admitted to our palliative care unit (PCU) from June 2009 to February 2018 were included. We accumulated routine blood data within 3 months before PCU discharge. Receiver-operating characteristic analysis was performed on each blood factor, and area under the curve (AUC) was calculated to determine the predictive value for 14-day survival after the blood test. Multivariable logistic regression analysis was performed to identify significant independent prognostic factors of 14-day mortality. To develop a scoring system for 14-day mortality, laboratory prognostic score for gynecologic malignancy (G-LPS) was calculated using the sum of indices of the independent prognostic factors.

resultsMultivariable analysis showed that 6 of 24 indices, namely, C-reactive protein ≥ 13.3 mg/dL, total bilirubin ≥ 1.1 mg/dL, sodium < 131 mEq/L, blood urea nitrogen ≥ 28 mg/dL, white blood cell count ≥ 17.7 × 103/μL, and eosinophil level < 0.2%, were significant independent factors of 14-day survival. G-LPS was obtained from the sum of the six indices. The AUC was 0.7977 at the optimal cut-off value of G-LPS 3. G-LPS 3 predicted death within 14 days with a sensitivity of 72% and a specificity of 79%.

conclusionsSix of the 24 laboratory indices were identified as independent prognostic factors of 14-day mortality in terminally ill patients with gynecologic malignancy. G-LPS showed acceptable ability of predicting 14-day survival.

Indexed as

Genital Neoplasms, FemaleTerminally IllFemaleHumansIntensive Care UnitsLaboratoriesPrognosisRetrospective StudiesROC CurveBlood dataGynecological cancerPalliative carePrognostic scoreTerminal care

Identifiers

PMID33966125
OpenAlexW3163529802

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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.