Evidence map›Paper›PMID 28694198›Full record

ReviewChest2017

Surviving With Smog and Smoke: Precision Interventions?

Hua Cai, Chen Wang

Abstract readReview
In one paragraph

Review in Chest, 2017. 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. Striking Surge in Lung Cancer Incidence in Children of Early Life.Journal of respiratory biology and translational medicine · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

2 authors.

Hua CaiNational Clinical Research Center for Respiratory Diseases, Center for Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; Division of Molecular Medicine, Department of Anesthesiology, Division of Cardiology, Department of Medicine, Cardiovascular Research Laboratories, David Geffen School of Medicine at UCLA, Los Angeles, CA. Electronic address: hcai@mednet.ucla.edu.
Chen WangDivision of Molecular Medicine, Department of Anesthesiology, Division of Cardiology, Department of Medicine, Cardiovascular Research Laboratories, David Geffen School of Medicine at UCLA, Los Angeles, CA.

Funding

Angiotensin II Uncoupling of Enos in HypertensionR01HL077440 · NHLBI · UNIVERSITY OF CHICAGO · PI CAI, HUA LINDA · 2005 to 2019
$4.8M
NOXs, eNOS Uncoupling and Diabetic AtherogenesisR01HL088975 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAI, HUA LINDA · 2010 to 2019
$4.5M
Endothelium-Myocardium Interaction in Netrin-1 Induced CardioprotectionR01HL119968 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAI, HUA LINDA · 2013 to 2017
$2.5M
Role of Vascular Oxidative Stress in ObesityR01HL108701 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAI, HUA LINDA, HARRISON, DAVID G · 2012 to 2015
$1.9M
NHLBI NIH HHS R01 HL077440NHLBI NIH HHS R01 HL088975NHLBI NIH HHS R01 HL108701NHLBI NIH HHS R01 HL119968
6 · The paper itself

Abstract

Despite continuous efforts of regional governmental agencies, air pollution remains a major threat to public health worldwide. In January 2017, a severe episode of smog similar to the Great Smog of 1952 occurred in London. The longest episode of Chinese haze also developed in Beijing, during which levels of particulate matter < 2.5 μm rose to 500 μg/m

Indexed as

Respiratory Distress SyndromeAir PollutantsEnvironmental MonitoringGlobal HealthHumansIncidencePrecision MedicineSmogSmokeAir PollutantsSmogSmokegenomicsprecision medicinerespiratory diseasessecondhand smokesmog

Identifiers

PMID28694198
PMCPMC5812760

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.