Evidence map›Paper›PMID 36408182›Full record

SynthesisFrontiers in oncology2022

Body composition as a predictor of chemotherapy-related toxicity in ovarian cancer patients: A systematic review.

Stefania Rizzo, Giorgio Raia, Maria Del Grande, Maria Luisa Gasparri, Ilaria Colombo, Lucia Manganaro, Andrea Papadia, Filippo Del Grande

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  6. Using maximum plasma concentration (CCancer chemotherapy and pharmacology · 2024
    Review
  7. Review
  8. 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

8 authors.

Stefania RizzoIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Giorgio RaiaIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Maria Del GrandeIstituto Oncologico della Svizzera Italiana (IOSI), Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland.
Maria Luisa GasparriDepartment of Gynecology and Obstetrics, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Ilaria ColomboIstituto Oncologico della Svizzera Italiana (IOSI), Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland.
Lucia ManganaroDepartment of Radiological, Oncological and Pathological Sciences, University of Rome Sapienza, Rome, Italy.
Andrea PapadiaFacoltà di Scienze biomediche, Università della Svizzera Italiana, Lugano, Switzerland.
Filippo Del GrandeIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The main objective of this systematic review was to examine the literature evaluating association of image-based body composition with chemotherapy-related toxicity in ovarian cancer patients. A secondary objective was to evaluate the different definitions of sarcopenia across studies. Methods: This systematic review was conducted according to the PRISMA-DTA statement and the protocol was registered on Prospero. A comprehensive literature search of 3 electronic databases was performed by two authors. For each eligible article, information was collected concerning the clinical setting; basic study data; population characteristics; technical aspects; body composition features; chemotherapy drugs administered; association of body composition values and toxicities. The overall quality of the included studies was critically evaluated. Results: After the initial retrieval of 812 articles, the systematic review included 6 articles (5/6 studies were retrospective; one was prospective). The number of patients ranged between 69 and 239; mean/median age ranged between 55 and 65 years; the percentage of sarcopenic patients ranged between 25% and 54%. The cut-off values to define sarcopenia and the vertebral levels for evaluation of body composition were different. Five studies included chemotherapy based on carboplatin and paclitaxel, 1 included chemotherapy based on pegylated liposomal doxorubicin. Among the studies including carboplatin and paclitaxel, 3/5 demonstrated an association with toxicity, whereas 2/5 did not. Altogether, 4/6 papers demonstrated an association between the body composition values and the development of chemotherapy-related toxicities. Conclusions: There is a wide variability of results about the association of body composition and chemotherapy-related toxicity in ovarian cancer patients. Therefore further studies, possibly including a comprehensive assessment of body compartments and where the definition of body composition cut-offs is constant, are warranted to better understand this association. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022337753, identifier (CRD42022337753).

Indexed as

body compositionchemotherapyovarian cancersarcopeniatoxicity

Identifiers

PMID36408182
PMCPMC9667042

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.