Evidence map›Paper›PMID 42487865›Full record

ReviewPakistan journal of medical sciences2026

Insulinoma-associated Protein-1 as a Biomarker for Diagnosis of Small Cell Lung Cancer: A Meta-analysis.

Jingtong Zhai, Boyu Qin, Jinzhao Zhai, Jinliang Wang

Abstract readReview
In one paragraph

Review in Pakistan journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jingtong ZhaiJingtong Zhai, Senior Department of Oncology, Chinese PLA General Hospital, Beijing 100039, China.
Boyu QinBoyu Qin, Senior Department of Oncology, Chinese PLA General Hospital, Beijing 100039, China.
Jinzhao ZhaiJinzhao Zhai, Senior Department of Oncology, Chinese PLA General Hospital, Beijing 100039, China.
Jinliang WangJinliang Wang, Senior Department of Oncology, Chinese PLA General Hospital, Beijing 100039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Conventional pathological examination can diagnose small cell lung cancer (SCLC) relying on the combined use of multiple immunohistochemical markers, and the diagnostic accuracy still does not meet clinical needs. In recent years, insulinoma-associated protein 1 (INSM1) has gradually demonstrated its value in identifying SCLC in surgical and biopsy specimens of lung tissue. Therefore, we aimed to evaluate the diagnostic utility of INSM1 as an immunohistochemical marker in accelerating and simplifying the diagnosis of SCLC. Methodology: PubMed, Embase and Web of Science databases were searched to retrieve literature. A meta-analysis was performed with Stata software (Stata 18.0). A random-effects model was used and subgroup analysis was carried out to identify possible sources of heterogeneity. Results: The initial search identified 257 articles. According to the inclusion criteria, 1523 patients from 10 studies were included in this meta-analysis. The pooled sensitivity and specificity of INSM1 immunohistochemistry for the diagnosis of SCLC were 0.93 (95% CI: 0.89 - 0.96) and 0.96 (95% CI: 0.92 - 0.98), respectively. The corresponding positive likelihood ratio (PLR) was 20.84 (95% CI: 11.64 - 37.32), and the negative likelihood ratio (NLR) was 0.07 (95% CI: 0.04 - 0.12). The area under the summary receiver operating characteristic (SROC) curve was 0.98 (95% CI: 0.97 - 0.99). Conclusions: INSM1 is a relatively promising and reliable immunohistochemical biomarker for the diagnosis of SCLC, with high sensitivity and specificity. In the future, INSM1 may be widely applied in the diagnosis of lung malignancies to improve the accuracy of pathological diagnosis for SCLC.

Indexed as

ImmunohistochemistryInsulinoma-associated protein 1Pathological diagnosisSmall cell lung cancer

Identifiers

PMID42487865
PMCPMC13389888

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