Evidence map›Paper›PMID 27378164›Full record

ArticleBMC cancer2016

The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989-2013.

Hutcha Sriplung, Seesai Yeesoonsang, Edward McNeil, Surichai Bilheem

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Epidemiology of lung cancer in northeast of Iran: A 25-year study of 939 patients.Medical journal of the Islamic Republic of Iran · 2020
    Article
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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

4 authors at 2 institutions in 1 country.

Hutcha SriplungEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand. hutcha.s@psu.ac.th.ORCID 0000-0002-8483-0460
Seesai YeesoonsangField Epidemiology Training Program, Bureau of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Edward McNeilEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand.
Surichai BilheemEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand.
Prince of Songkla University · THMinistry of Public Health · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of lung cancer in many parts of the country as shown in cancer registry statistics is not decreasing. The incidence of adenocarcinoma (ADCA) in Songkhla is now higher than that of squamous cell carcinoma (SCC) in both sexes. The percentage of the unknown histologic type of lung cancer in Songkhla is around 30 %. The objective of this study is to estimate trends in incidence of the two major histologic types of lung cancer: SCC and ADCA, in Songkhla province of Thailand from 1989 to 2013.

methodsAge-standardized incidence rates (ASR) were used to compare and described the trends in both major types of cancers. Multinomial logistic regression models were used to impute unknown histological cancer types using a multiple imputation (MI) method to account for the high percentage of unknown histology.

resultsThe multinomial predictive model for major types of lung cancer in Songkhla consisted of sex, age, year of diagnosis, and place of residence. After MI, the number of cases with both SCC and ADCA in both sexes increased by one-third of the number of cases with originally known histology. The increasing trends were observed in ADCA in both sexes while SCC in males was stable and in females was decreasing.

conclusionsA rapid increase in the incidence of ADCA was found while the incidence of SCC in males showed no significant change and it was declining in females. These results warrant an investigation into risk factors other than cigarette smoking. The number of cases has limited use when the age structure of the population under study is changing. Year of diagnosis was one of the predictors in the MI model.

Indexed as

AdenocarcinomaAgedCarcinoma, Squamous CellFemaleHumansIncidenceLogistic ModelsLung NeoplasmsMaleMiddle AgedRisk FactorsThailandAdenocarcinomaIncidenceLung cancerMultiple imputationSongkhlaSquamous cell carcinomaThailand

Identifiers

PMID27378164
PMCPMC4932721
OpenAlexW2463187343

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LicenceCC BY
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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.