Evidence map›Paper›PMID 35186740›Full record

ArticleFrontiers in oncology2022

A Risk Model Composed of Complete Blood Count,

Leyuan Wang, Lin Yuan, Xizi Du, Kai Zhou, Yu Yang, Qingwu Qin, Liangchun Yang, Yang Xiang, Xiangping Qu, Huijun Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Application of pretreatmentAnnals of hematology · 2025
    Article
  2. Article
  3. Article
  4. The baseline metabolism parameters ofQuantitative imaging in medicine and surgery · 2023
    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

12 authors at 1 institution in 1 country.

Leyuan WangDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Lin YuanDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Xizi DuDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Kai ZhouDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Yu YangDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Qingwu QinDepartment of Respiratory and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Liangchun YangDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, China.
Yang XiangDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Xiangping QuDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Huijun LiuDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Xiaoqun QinDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Chi LiuDepartment of Physiology, School of Basic Medicine Science, Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn children, Langerhans cell histiocytosis (LCH), which is the most prevalent histiocytic disorder, exhibits a wide variety of manifestations and outcomes. There is no standard prognosis evaluation system for LCH. We investigated the combined predictive significance of complete blood counts (CBCs),

methodsA cohort of 71 childhood LCH patients was retrospectively studied. The prognosis predictive significance of platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), systemic inflammation response index (SIRI), systemic immune inflammation index (SII),

resultsHistiocyte Society (HS) classification of LCH patients was correlated with NLR, SIRI, and progression free survival (PFS), bone involvement was correlated with SIRI, liver involvement was correlated with NLR, SII, SIRI, and PFS, spleen involvement was correlated with SIRI, lung involvement was correlated with NLR and PFS, CNS involvement was correlated with PFS, while

conclusionThe risk model combined with CBCs,

Indexed as

BRAF V600Ecomplete blood countsLangerhans cell histiocytosisMAP2K1prognosis

Identifiers

PMID35186740
PMCPMC8854502
OpenAlexW4210523105

What OpenQuestion holds

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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.