Evidence map›Paper›PMID 35140521›Full record

ArticleCancer management and research2022

Preoperative Predictors of Early Mortality Risk in People with Osteosarcoma of the Extremities Treated with Standard Therapy.

Ke Tian, Peng-Ju Li, Yan Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 38% 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

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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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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  3. 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

3 authors at 1 institution in 1 country.

Ke TianDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, People's Republic of China.
Peng-Ju LiDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, People's Republic of China.
Yan ZhangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, People's Republic of China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMore precise identification of osteosarcoma patients with high early death risk and enhanced early follow-up of these patients, such as increasing the frequency of postoperative chest computed tomography (CT) and local magnetic resonance imaging (MRI) examinations, may improve the overall survival of patients. The primary purpose of this research is to explore the risk factors related to early mortality in patients with osteosarcoma under standard treatment. PATIENTS AND

methodsOur research included 87 osteosarcoma patients who had undergone standard treatment and had a Karnofsky (KPS) ≥70. We define patients who die within 2 years of diagnosis as early death. The clinical characteristics and laboratory indicators of patients with osteosarcoma were collected and analyzed retrospectively.

resultsThe median follow-up time was 32 months (4-91 months). Early deaths occurred in 13 patients. Early death of patients with osteosarcoma is related to tumor metastasis (P < 0.001), tumor size >5cm (P = 0.049), high-level neutrophil-lymphocyte ratio (NLR) (P = 0.035), high-level fibrinogen (FIB) (P = 0.038), and higher D-dimer (DD) (P = 0.025). According to our results of multivariate Cox analysis, tumor metastasis status at diagnosis (P < 0.001), NLR (P = 0.039) and FIB (P = 0.023) are independent risk factors in predicting early mortality in osteosarcoma patients. The "Osteosarcoma Early Mortality Nomogram" has a C index of 0.871, and the calibration curve performs best compared with the ideal model in predicting mortality in 1 year.

conclusionTumor metastasis status, NLR, and FIB are independent risk factors in predicting early mortality in osteosarcoma patients. The early follow-up of patients with tumor metastasis, high NLR, and high FIB should be strengthened.

Indexed as

biomarkerearly deathosteosarcomasurvival

Identifiers

PMID35140521
PMCPMC8819697
OpenAlexW4210691148

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.