Evidence map›Paper›PMID 34504931›Full record

ArticleGynecologic oncology reports2021

Evaluation of the clinical Index of Stable febrile neutropenia risk stratification system for management of febrile neutropenia in gynecologic oncology patients.

Karen A Monuszko, Benjamin Albright, Mary Katherine Montes De Oca, Nguyen Thao Thi Nguyen, Laura J Havrilesky, Brittany A Davidson

Open access · goldAbstract read
In one paragraph

Article in Gynecologic oncology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 86% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 2 institutions in 1 country.

Karen A MonuszkoDuke University School of Medicine, Durham, NC, 27710, United States.
Benjamin AlbrightDivision of Gynecologic Oncology, Duke Cancer Institute, Durham, NC, 27710, United States.
Mary Katherine Montes De OcaDepartment of Obstetrics & Gynecology, Duke University, Durham, NC, 27710, United States.
Nguyen Thao Thi NguyenDuke University School of Medicine, Durham, NC, 27710, United States.
Laura J HavrileskyDivision of Gynecologic Oncology, Duke Cancer Institute, Durham, NC, 27710, United States.
Brittany A DavidsonDivision of Gynecologic Oncology, Duke Cancer Institute, Durham, NC, 27710, United States.
Duke Medical Center · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveScoring systems have been developed to identify low risk patients with febrile neutropenia (FN) who may be candidates for outpatient management. We sought to validate the predictive accuracy of the Clinical Index of Stable Febrile Neutropenia (CISNE) score alone and in conjunction with alternative scoring systems for risk of complications among gynecologic oncology patients.

methodsWe conducted a single institution retrospective cohort study of patients admitted to an academic gynecologic oncology service for FN. We examined the performance characteristics (sensitivity, specificity, positive and negative predictive value) of three scoring systems (Multinational Association of Supportive Care in Cancer (MASCC), CISNE cut-off 1 (Low risk = 0), CISNE cut-off 2 (Low risk = <3)), and the combination of MASCC and CISNE to predict complications: inpatient death, ICU admission, hypotension, respiratory/renal failure, mental status change, cardiac failure, bleeding, and arrhythmia.

resultsFifty patients were identified for study inclusion. No low-risk CISNE patients died during hospitalization. Fewer CISNE low-risk patients experienced complications compared to high-risk patients, regardless of cut-off. Sensitivity, specificity, positive and negative predictive values of the scoring systems were: CISNE 1-37.1%, 86.7%, 86.7%, 37.1%; CISNE 2-85.7%, 46.7%, 78.9%, 58.3%; MASCC-82.9%, 66.7%, 85.3%, 62.5%; MASCC + CISNE 1-37.1%, 93.3%, 92.9%, 38.9%; MASCC + CISNE 2-80%, 73.3%, 87.5%, 61.1%.

conclusionsThe CISNE scoring system is an appropriate tool for the identification of patients with gynecologic cancers and FN who may benefit from close outpatient management. CISNE cut-off 2 performed comparably to the MASCC, but CISNE cut-off 1 had a higher specificity and positive predictive value.

Identifiers

PMID34504931
PMCPMC8414105
OpenAlexW3198591667

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LicenceCC BY-NC-ND
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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.