Evidence map›Paper›PMID 30013668›Full record

ArticleOncology letters2018

The impact of inflammation and cytokine expression of PM2.5 in AML.

Tingting Chen, Juan Zhang, Hui Zeng, Yue Zhang, Yong Zhang, Xiaohuan Zhou, Dong Zhao, Yingmei Feng, Hebing Zhou

Abstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Exposure to outdoor air pollution at different periods and the risk of leukemia: a meta-analysis.Environmental science and pollution research international · 2021
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Amelioration of PMRespiratory research · 2019
    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

9 authors.

Tingting ChenDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Juan ZhangDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Hui ZengDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Yue ZhangDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Yong ZhangDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Xiaohuan ZhouDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Dong ZhaoDepartment of Endocrinology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Yingmei FengDepartment of Endocrinology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.
Hebing ZhouDepartment of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental and health issues have become a major focus of research worldwide in recent years. Particulate matter with diameter ≤2.5 µm (PM2.5) is a common air pollutant that has been demonstrated to be associated with various diseases, including acute myeloid leukemia (AML). In the present study, the effects of PM2.5 on the proliferation and inflammation were assessed using three human acute myeloid cell lines (U937, HL-60 and KG-1a)

Indexed as

acute myeloid leukemiacytokineinflammationPM2.5

Identifiers

PMID30013668
PMCPMC6036563

What OpenQuestion holds

Textmetadata
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.