Evidence map›Paper›PMID 26897015›Full record

Observational studyJournal of neuro-oncology2016

Clinical features of subarachnoid hemorrhage in patients with positive cancer history.

Ichiyo Shibahara, Takashi Watanabe, Masayuki Ezura, Takashi Inoue, Miki Fujimura, Naoto Kimura, Tomoo Inoue, Ichiro Suzuki, Akiko Nishino, Shinjitsu Nishimura and 2 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Patients with Invasive Tumors andAsian journal of neurosurgery · 2022
    Article
  2. 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 3 institutions in 1 country.

Ichiyo ShibaharaDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan. shibahar@nsg.med.tohoku.ac.jp.
Takashi WatanabeDivision of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Masayuki EzuraDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Takashi InoueDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Miki FujimuraDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Naoto KimuraDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Tomoo InoueDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Ichiro SuzukiDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Akiko NishinoDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Shinjitsu NishimuraDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Hiroshi UenoharaDepartment of Neurosurgery, National Hospital Organization Sendai Medical Center, 2-8-8 Miyagino Miyagino-ku, Sendai, 983-8520, Japan.
Teiji TominagaDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Sendai Medical Center · JPNational Hospital Organization · JPTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in cancer treatment have dramatically increased long-term survivors. Prolonged survival increases comorbidity risk, but there is a paucity of studies on how cancer history alters clinical outcomes from subsequent diseases. This study aims to investigate whether positive cancer history influences clinical outcome following subarachnoid hemorrhage (SAH). We retrospectively reviewed consecutive SAH patients admitted between January 2008 and March 2014. Medical histories, known SAH risk factors, and outcome were compared between SAH patients with and without cancer history. Out of the 498 SAH patients, 55 cases had cancer history, 438 cases had no cancer history and 5 cases had an unknown cancer history. Compared with SAH patients without cancer history, those with cancer history had poorer Hunt & Hess grade at SAH presentation (P = 0.021), and poorer modified Rankin Scale (mRS) score at discharge (P < 0.001). After adjustment for age, sex, modified Fisher, previous SAH, history of hypertension, current smoking status, and current alcohol consumption, positive cancer history remained an independent risk factor for poorer mRS0-6 [odds ratio (OR) = 2.25, 95 % confidence interval (CI) 1.28-3.94] and mRS6 (OR = 2.74, 95 % CI 1.40-5.37). Furthermore, stratified analysis by Hunt & Hess grade adjusted by age, sex, and modified Fisher scale, OR of poorer mRS0-6 was 2.12 (95 % CI 0.89-5.05) and OR of mRS6 was 3.68 (95 % CI 1.35-10.04). After adjustment of patients for demographic factors, classical risk factors for SAH and Hunt & Hess grade, previous cancer history is a risk factor for the poor functional outcome of SAH.

Indexed as

AgedCancer SurvivorsFemaleHumansMaleMiddle AgedMultivariate AnalysisNeoplasmsOdds RatioRetrospective StudiesRisk FactorsSeverity of Illness IndexSubarachnoid HemorrhageTreatment OutcomeAneurysmCancerOutcomePoor gradeSubarachnoid hemorrhage

Identifiers

PMID26897015
OpenAlexW2287120903

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.